{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# 项目：电影数据分析\n",
    "\n",
    "## 目录\n",
    "<ul>\n",
    "<li><a href=\"#intro\">简介</a></li>\n",
    "<li><a href=\"#wrangling\">数据整理</a></li>\n",
    "<li><a href=\"#eda\">电影数据分析</a></li>\n",
    "<li><a href=\"#conclusions\">结论</a></li>\n",
    "</ul>\n",
    "\n",
    "<a id='intro'></a>\n",
    "## 简介\n",
    "\n",
    "> 这是一个电影数据统计表格，内部包含有每部电影的编号id以及在IMDB中相应的编号id，以及有关该电影的预算、收益、电影名称、导演、演员、宣传标语、故事简介、电影时长、电影类型、制作公司、上映日期、评论人数以及平均评论得分、及实际预算和实际收益。我想分析最近几年的电影市场收益增长率，以及在最近五年，什么类型的电影能得到更高的投资收益率，以及哪位导演能够带来更大的投资收益比。如果现在你和你们团队有3000万美金，想找个片子来获得收益，那么你跟你的团队会考虑拍摄哪种类型的片子，并且准备找谁当导演呢。\n",
    "\n",
    "> 我们使用的是tmdb-movies.csv数据集。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 用这个框对你计划使用的所有数据包进行设置\n",
    "#   导入语句。\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "df = pd.read_csv('tmdb-movies.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## 数据整理\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### 清理不合理的电影数据\n",
    "- 清理掉可能存在的重复数据，避免重复刷分数的可能\n",
    "- 更改不合适的数据类型\n",
    "- 根据电影特性，删除一些不应该存在的数据\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 是否有重复数据,如果有，将其去除掉\n",
    "if df.duplicated().sum() >0:\n",
    "    df.drop(labels = df[df.duplicated()].index, axis =0, inplace = True)\n",
    "    \n",
    "# 更改电影日期类型\n",
    "df['release_date'] = pd.to_datetime(df['release_date'])\n",
    "\n",
    "# 发现是否有恶意数据，如果有，则去除掉，这里我们根据电影时长来判断，再短的电影也不可能低于1分钟\n",
    "df.drop(labels = df[df.runtime < 1].index, axis =0, inplace = True)\n",
    "\n",
    "# 根据关键列是否有缺失值进行数据整理，我认为一部电影中导演和演员是必须的，如果即没有导演也没有演员，同时也不可能出现预算和收益都没有的情况。\n",
    "df.drop(labels = df[((df.director.isnull() & df.cast.isnull()) | ((df.budget_adj <1) & (df.revenue_adj <1)))].index, axis =0, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## 电影数据分析\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分析一： 电影市场收益变化率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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ukCStrWmIuBIv3sOpYPQwzZqUpxUb67WjqSXiqgAAAPpfXWOzVmzcrjlFDEHrLxceXayWNqd7nq/ss2007mrVJ+9aos31TfrtpUfo1IP31Q//+aYuvOO/2lQ/cOYRBTB4EBah2+I9i6pqGgfEZH5VQQ+ngrwczZqUpzYnvVJVF3FVAAAA/S8+d84c5ivqNyX7DNf8qeN0738rtaul98/K29rm9Pk/vKhla2v1k3MP03EHjNOtHz9MP/jQIVpSUa3Tf/KMnl6xude3C2BoIyxCt1UEYVF9U4u2NUbfg6eq1tdTMDpHhxbmSmKSawAAMDQtrahRWsw0a1Je1KUMKRfNK9Hm+iY9+sr6Xl/39Y+8rn++ulHfPOMgnTJjX0l+cu1zjyjSQ1ceqzHDM3XhHf/VDx59Q82tvR9WARiaCIvQLW1tTmurG1U8dpgkac0AGIpWVdOokVnpys3J0NgRWSoaM0zL1hIWAQCAoWdJeY0OmjBKwzLToy5lSDnhgHEqGTtMdy/u3YmuFz77tn7zn7d18TEluuTY/d6x/MD8kfrrFcfqvCOLdNtTb+kjty3Wmuro/z8H8O5HWIRu2bBtp3a1tmne5H0kDYxJrqtqG1UwOidxfeakPL1USVgEAACGlpbWNr20plZzihmC1t9iMdMnji5RWUVNr02H8K9XN+g7D7+m9x2Ur2+ccVCH7XIy03T9Bw/Rz86brbc2bdfptzyjv7/c+z2cAAwthEXolvh8RfMmj5U0MCa5rqrdqYK83WHRrEl5Wle3s8/PSAEAADCQvL6+Xo3NrYRFETlnTqGGZaZp4aLyHq9r2ZpaXXXfizq0IFe3nHuY0lI4s90Zh07QI587TpPHjdAV9y7V1x5crp3NrT2uBcDQRFiEbqnc6sOhQwtzNSIrfWD0LKpp0MQ9wiLmLQIAAENPWUW1JBEWRSQ3J0MfPKxADy1bp+odu/Z6PWuqG3TpXUu0z4gs/fqiw5WTmZbyfSeNGab7Lz9al58wWfc+X6mzbv2PVmys3+taAAxdhEXolsrqBqXFTBPzclQ4OifysKh+Z7O27WzZYxjajIm5So8Z8xb1sbU1DXxbBQDAALKkokYTc7P3+BIN/euieSXa1dKm+16o3Kv71zU06+KFL2hXS6sWXny4xo3M6vY6MtJi+spp03T3JUeoescunXXrf3TffysHxFmMAbx7EBahWyqqG1SQl6OMtJgK8nIiH4ZWVevDqvAwtOyMNE2bMFLL1vTOeHG8U0trm077yTP6zX/ejroUAAAQWFpRo9n0KorUgfkjdfT+Y3XPc5Vq6eaZyZpaWvXp3y1RxdYduv3CuZoyfmSPajn+wHF65HPHaW7xGH3lz8v12d+/qG07m3u0TgBDB2ERuqWyukFFY/yZ0ApH5yTCmqhUBT2bwj2LJGlmYZ6WralVWxvfoPSF9XU7Vb+zRW9v2RF1KQAAQNK62katq9upuYRFkbtoXomqahv1+OubUr6Pc05f+dNyPbe6Wj88Z6aO2n9sr9QyfmS27r7kCF196lQ9+soGnXHLM0zVACAlhEXolsqtOzQpERYNU/3OFtU1RvcNRTysKkzqbj1rUp7qm1q0mjCjT8RPybqRScQBABgQyipqJElzisdEXAlOmj5eE3Ozdffi8pTvc9PjK/Xgi1X6f+87UB84rKBX64nFTJ+ZP0V//PRRamuTzvnFIt3+9Ft8qQqgU4RFSNm2nc2qaWhW8djdPYukaM+IVlXTqMy0mPYZsed47lmT8iQxyXVfiZ8Vb9O2pogrAQAAkg+LcjLSNH1Cz4YuoefS02K64OhiLXpra0qTS/9xyRrd8u+V+ujcQl35nil9Vtec4jF65KrjdNL0fF3/yBu6eOEL2rKd/+UAtI+wCCmL9yYpCvUskhTpJNdraxs1MS9bsaTTiU4eN0IjstK1jLCoT8TDoo319CwCAGAgKKuo0axJeUpP49/7geDcw4uUmR7TXYvKO233n5Vb9LU/L9dxB+yj6z54iMys0/Y9lTssQ7+4YLa++4GDtXj1Vl1579I+3R6Ady/+miBllVuTw6J4z6LowqKqmsZ3zFck+e62hxbmcka0PhIPi2obmjkjGgAAEdvR1KLX1m/T3BLmKxooxgzP1FkzJ+rPS6s6nLLhzQ31+p/flWnK+BH62fmzldFPQZ+Z6RNHFesrp07Tc6ur9UJ5db9sF8C7C2ERUhYPCIqCYWh5wzI0PDMt2mFotY17nAktbOakPL2+fhthRh+I9zKTGIoGAEDUlq2tVWub40xoA8yCeSVqbG7VA2Vr37Fs47aduvjO/yonM013LDhco7Iz+r2+jx9RpLHDM3XrE6v6fdsABj7CIqSsorpBo4dlJP6YmZkKRw+LrGfRzuZWba5vUkHesHaXz5qUp+ZWp9fWb+vnyga/yuoGTRrjQzqGogEAEK2ycj+59ewiwqKB5OCCXM0uytNvF5fvMZn0jqYWXbLwBdU1NuuOBYdrYgdffPa1nMw0XXrcfnpqxWYtX1sXSQ0ABi7CIqRsTXVDYghaXOHonMjCog11PqSYmJfd7vLEJNeVDEXrTfGJzg8v8Wdb4YxoAABEq6yyRgfmj1BuTv/3TkHnLppXovKtDXpq5WZJUktrm668d6ne2FCvW8+frYMLciOt7xNHFWtUdrp+9iS9iwDsibAIKavY2qCiscP3uM2HRdEMQ6uq9SFVe3MWSVL+qGxNyM1m3qJeFh+CtjssYhgaAABRaWtzWlpRoznFY6IuBe047eAJGjcyS3cvKpdzTt9+6FU9+eZmXXv2DJ04dXzU5WlkdoYWzCvRP17dkNKZ2wAMHYRFSElLa5uqahtVNGbPYKZgdI7qd7Z0OHFfX6oKejQVdjAMTZJmFubpJc6I1qviYdEhBbnKTI9pEz2LAACIzKrN27VtZ4vmMl/RgJSZHtN5RxSpdMVmXfPQq7rn+UpdfsJknX9kcdSlJVx8zH4alpmmn9O7CEBIj8MiM0szsxfN7OF2lmWZ2R/MbJWZPW9mJT3dHqKxrnanWtucisck9yzyQU1VBEPR1tY2ykzaN7f9YWiSNKsoTxVbG1SzY1c/Vja4ran2j/WkMcOUPyqLYWgAAERoSTBf0RzCogHrvCOLlGamuxZX6IxDJ+jqU6ZGXdIeRg/P1PlHFumhZetUsXVH1OUAGCB6o2fR5yS93sGySyXVOOemSLpJ0g29sD1EIH4mtEntzFkkKZKhaFU1jcofma3M9I6fxjML/bxFDEXrPZXVDcrNyVBuTobyR2YzDA0AgAiVVdRonxGZKh7bcU9rRCt/VLYuPqZEJ00frxs/MlOxmEVd0jt86rj9lZ4W021PvRV1KQAGiB6FRWZWKOkMSb/uoMnZku4Kfn9A0nvNbOC9O6JLFdX+W4bkf0TiPYuimOS6qrahw/mK4g4pzJWZGIrWiypDE53nj8qmZxEAABEqq6jW7KLR4l/sge3rZxykX190uLIz0qIupV3jR2XrY3Mn6YGytVpfF83JawAMLD3tWXSzpKsltXWwvEDSGklyzrVIqpM0tofbRAQqqxuUmRZT/qg9h3yNHpahYZlpEYVFjSro4lSjI7LSdeD4kVpGWNRrwmfFG88wNAAAIrNle5PKtzZobglD0NBznz5hfzkn3f706qhLATAApO/tHc3sTEmbnHNlZja/o2bt3OY6WN9lki6TpPz8fJWWlu5taegDZW/s1Jhsp2eefuody0ZntumllZUqLd3Ub/W0Oad1NY06NLely+fK+PQmvbC6Xk8++STfuvVQm3Oq3NqgaSN3qbS0VDs279KOXa169PEnlZPOsQUAoD+VbWyRJNnWcpWWrom4GgwGR01I0z2Ly3VY5iaNyuJ/O2Ao2+uwSNIxks4ys9MlZUsaZWa/c85dEGqzVtIkSWvNLF1SrqTq9lbmnLtd0u2SNHfuXDd//vwelIbe9sOXn9G0wizNn3/EO5ZNLX9BG+p2av784/qtnvV1jWr95xM6euZUzT+q87NJrMup1DMPLtfkQ49UEeP5e2RdbaNa/vmEjp01TfOPLFJN7lr9ccUyHTjzcE0eNyLq8gAAGFIWP/K6MtPKdeH75ysrfWAOb8K7y6QZ23XSj5/S626Cvjx/WtTlAIjQXg9Dc8591TlX6JwrkXSupCeSgiJJekjSRcHv5wRt2u1ZhIHLBb1Jise0H7QUjs7p9wmu42df62rOIkmaOSlXkvQSk1z3WHyi8/CcRZIYigYAQASWVNTokMJcgiL0msnjRuj0Qybot4srVNfQHHU5ACLUG2dD24OZXWtmZwVXfyNprJmtkvRFSV/p7e2h79U2NKu+qeUdZ0KLKxydo207W1TX2H9/UKpqfVhU2MWcRZI0NX+ksjNieqmSsKinOgqLNnFGNAAA+lVTS6uWr63T3GLmK0LvuvLEKdre1KK7FpdHXQqACPVkGFqCc65UUmnw+7dCt++U9JHe2AaiUxEEBMVjh7e7PH5GtKqaRuXmZPRLTfGwaGIKYVF6WkyHFORqGT2LemxNdYPSYqYJeT4komcRAADReKWqTrta2zSbsAi9bPqEUTpp+njd8ezbuvTY/TQ8q1c+MgJ4l+n1nkUYfJJ7kySLn5EsHuD0h6qaRuUNy0j5j9fMwjy9UlWn5taOTtyHVFRWN2hiXrYy0vxbx4isdA3PTNNGehYBANCvyipqJElzCIvQB644cYpqG5p17/OVUZcCICKERehS5dYdkjoOiwqDeYP6c96iqtrGREiVillFeWpqadObG+r7sKrBb011gyaN3vN5kD8qWxvr6VkEAEB/WlJeo5Kxw7TPiKyoS8EgdFjRaB0zZaxuf2a1dja3Rl0OgAgQFqFLldUNGjcySzmZ7U+eOGZ4pnIy0rS2pn97FnUnLJpZmCdJenENQ9F6orK68R2h4fhRWdpYR1gEAEB/cc5paWWN5hSPiboUDGJXnDhFm+ubdP+SNVGXAiAChEXoUkUnZ0KTJDPr1zOiOed8z6IUzoQWVzg6R2OHZ2oZYdFea9jVoi3bm94x0Tk9iwAA6F8VWxu0ZfsuhqChTx29/1jNKR6t255azVQOwBBEWIQuralu6HAIWpwPi/qnZ1FtQ7MadrV2q2eRmWnWpDzCoh5YU+0f3+TnQv6obG3c1iTnXBRlAQAw5MTnK5pbQliEvmNmuvLEKaqqbdRfXqyKuhwA/YywCJ1qamnV+m07VTS2q7BoWL+FRfGJtAu70bNIkmZOytOqzdtVv7O5L8oa9Dqa6Dx/VLZ2tbSprpHjCgBAf1hSUaNR2emaMm5E1KVgkJs/dZxmTBylX5S+pdY2vhgEhhLCInRqbU2jnOt4cuu4wtE5qmts1rZ+CGLioVRBXuc1JZs1KU/OScvX1vVFWYNex2GRn1iTM6IBANA/llbUaHbxaMViFnUpGOTMTFecOEWrt+zQI8vXR10OgH5EWIROVW71AUFxCj2LJD/xdF+L9yzqzpxFEpNc99Sa6gaNzEpX3rCMPW7PH5UtSdq4jXmLAADoa3WNzVqxqV5zihiChv5x6ox9NXnccP3syVVMOwAMIYRF6FS8N0nypMbJ4kPC+mMoWlVNo3Iy0jQ6KbToSu6wDO2/z3DmLdpLldUNmjRmmMz2/BYzfyRhEQAA/eXFyho5J81hviL0k1jM9Jn5U/TGhnr9+/VNUZcDoJ8QFqFTldUNyslI07gRWZ222x0W9f0Z0dYFZ0JLDi1SMXNSnl5aU8u3InuhsoOJzscHw9A21TMMDQCAvlZWUaO0mD9xB9Bfzpo1UZPG5OhWehcBQwZhETpVsdUHBF0FM2OGZyo7I9Zvw9AmduNMaGEzC3O1qb5JG+gF0y3OOX9WvHaGI2ZnpCk3J0Mb6jimAAD0tbKKGh00YZSGZaZHXQqGkIy0mC4/YbJeWlOrRW9tjbocAP2AsAidWhMMPeqKmfXbGdGqahtVsJdh0axgfD9D0bpnc32TmlraNKmDeaLyR2UxDA0AgD7W0tqml9bUak4xQ9DQ/86ZU6j8UVm69YlVUZcCoB8QFqFDzjlVVjd0Obl1XOHoHK2t7dthaA27WlS9Y1di2Ft3TZ8wUplpMSa57qau5q7KH5WtjQxDAwCgTy2vqlPDrlbCIkQiKz1Nnzpufy1evVVlFdVRlwOgjxEWoUObtzepsfn/s3ffYW0dVuPHv1cSSCyxETZi2MZ7YRtvJ/HIbkab3aTNnk0zutP2bd82b39t06RJm67MpmmWM9vsYcd7b7zANh6IYabYYgjp/v4Qcha2AY0rofN5Hp46cHXvKZZBOvcMV59zavpiTY4JeGVRlXcT2iAri4wGPeOHm6WyaIC8yaKTPRcyEkzUSmWREEIIERClta389K09XPPUJkxROmaPSNE6JBGhrp2dQ0pctFQXCREBpNlZnJStoTdB0O/KoliaHE5aO50kmAa2qay/vMmorEFWFgEUWBN5Y3sFLreKXjfwIdmRyGZ3oCgn/75nJhqpbe3C7VbRyfdUCCGE8JmqqqwrreeZtUdZfbAOo0HHZdOzuGXBCDLMJq3DExEqNtrALQtG8PDHB9hb2cykrEStQxJCBIhUFomTOl01yZd5W8MqmwJXXVTpY2UReDaitXe7KK1t81dYQ57N7mCY2YTRoO/z6xazCZdbpaG9O8iRCSGEEENLp9PFq1ttnP+ntXz72S3sq2rh++eMYcMDi/ndZVPIz0jQOkQR4b49N5cEk4G/r5LqIiGGMqksEidV1uCpJunvfCBrsiepVGHvYFymOSAxVTZ2YNApWHy4o+ZdNVtU3sTYTHnB1R+nG3SekeD5+6hp6SQ9wRissIQQQogho661ixc2lfHSpjIa2rsZP8zMI1dO5eKpw056s0YILZhNUdwwN4+/rSqltLZVEphCDFGSLBInVX6aapIv8yaVKhoDN+S6sqmDzESTT+1jealxmE0GdpY3cdXMbD9GN3TZ7A7OHJ1+0q9bzJ4EUW1rJyDlyEIIIUR/FR9v4dl1R3lnVxXdLjdLxmVwyxkjmDsyFUWR1m4Rmm5eMIJn1x3l7ysP8+jVBVqHI4QIAEkWiZMqszv6Pa8IIDUuGlOULqBDrhC7MEAAACAASURBVCsbO3xqQQPQ6RSmZifJkOt+6nS6qGnpOmU7orfSq6ZFNqIJIYQQp+N2q6w8UMuz646y4XADMVF6rp6ZzU3z8xiZHq91eEKcVkpcNNfOzuFfG45x/9ljBvSeQQgRHmRmkTgpm93R73lFAIqiYE2ODWyyqKnDp+HWXgXZSRyoaaWj2+WHqIY2b6XYqV4EeFvPqptlI5oQQghxMo7uHl7YVMbZj67mlue3caSunZ+cP46NP13M/319kiSKRFi5/cyR6BWFJ9Yc1joUIUQASGWR6JOju4e61i5yU+MG9LispJiADbh2utzUtHT6XFkEnmSRy62yt6qZmXmyfvZUvIPOvTOp+hKl15EWH93bhiaEEEKIz6tt7eS59cd4ebON5g4nU6yJ/PmaAi6cPIwovdy7FeHJYjZxZaGV17dVcO/i0WQmypY+IYYS+e0k+lRu9yR8TjXUuC/W5JiAzSyqbu7Erfq2Cc1ritUz5HqXTVrRTsf7XDhdlVlGgkna0IQQQogvcbtVvvnUJp5cfZi5I1N5/c65vH33fC4tyJJEkQh7d541Cpeq8vTaI1qHIoTwM/kNJfpU1tAOQO6Ak0WxNDqctHX1+D0mb8WSP9rQ0hOMZCXFsKtCkkWnY7M7iInSkxYffcrjMhNN1LRIZZEQQgjxeZuONHC4rp0/XDGVJ749g5l5KTK4WgwZ2SmxXFownJc2l0mFuRBDjCSLRJ+8rUcDmVkEn21EqwzA3CLvOf1RWQRQkCNDrvvDO7vqdC9sLWajVBYJIYQQX7J0azlmk4GLpgzTOhQhAuLexaNxu+H3H5RoHYoQwo8kWST6ZLM7SDAZSIqNGtDjvMmiQLSieSuLhvsrWWRNoqKxg/o2SXCcSrnd0a92xIwEEw3tXThd7iBEJYQQQoS+xvZuPtpbzTemZWGK0msdjhABkZcWx21njuCtnZVsOWrXOhwhhJ9Iskj0qb/VJF/mHYIciI1olY0dpMUb/fZiqyDHM7dIqotOTlXVfm/Fs5hNqCqSfBNCCCF6/WdnJd0uN9fMytE6FCEC6u5F+WQlxfDLt/fSIzcOhRgSJFkk+mRrcJB7ilXpJ5MWH43RoAtYZZE/5hV5TRxuRq9T2CXJopNqaO/G0e0iJ+X033eL2QggrWhCCCEEnhsur24tZ6o1kfHDzFqHI0RAxUYb+MVF4ympbuWFTWVahyOE8ANJFomvcLlVKho7BrwJDUBRlN6NaAGoLGrqwOqnFjTw/FIbY0mQZNEpnJhd1Y/EocXsWZda3SzDDYUQQoid5U0cqGmVqiIRMc6bmMkZo9N49JOD1LXKzUMhwt2gk0WKopgURdmiKEqRoij7FEX5dR/H3KgoSp2iKLt6P271LVwRDNUtnXS73OSmxA3q8dbkWL8ni9xu1e+VRQAF2Z4h16qq+vW8Q0X5AAadZ/RWFskmDCGEEAJe3VJObLSei6cO1zoUIYJCURR+fclEOntc/P5DGXYtRLjzpbKoC1isqupUoAA4X1GUOX0c96qqqgW9H8/4cD0RJLaGwW1C87Imx5wYRu0v9e1ddPe4/bYJzasgO5GWzh6O1rf79bxDhfe54J1FdSqpcUb0OoWaFkkWCSGEiGxtXT28u7uKi6YMI95o0DocIYJmZHo8t54xkjd3VLDtmAy7FiKcDTpZpHq09f5nVO+HlGcMATa7J3EymJlFAFnJMdjbu2nv6vFbTJW9lUr+TxYlA1BUIa1ofbHZHWQk9G+ouF6nkB5vlJlFQgghIt67RVU4ul3SgiYi0j2L8xmeaOIXb++TYddChDGfbnUoiqIHtgP5wN9UVd3cx2GXK4pyJnAQ+J6qquUnOdftwO0AFouFVatW+RKa8MHag93oFTi4azOHdQPbhgbQctyTJPrvJ2vISvDPWKwt1Z5zVpXuZVVtsV/OCeBWVUx6eG/jPpKbS/123qFiz9EOEvX0+99jrNJNybHjrFrVGNjAhBBCiBD29MYOsuIVmg/vYtWRgb+WEiLcfWOEyt92tfCrFz/l7NworcMRQgyCT8kiVVVdQIGiKEnAfxRFmaSq6t7PHfIu8Iqqql2KotwJPA8sPsm5ngKeAigsLFQXLlzoS2jCB28e34k1pYklixcN6vFmWyNPFG1g2OiJLBxn8UtMB9cchl0lXHrOmSTG+PcXTsGhjdQ73SxcON+v5wVwutxE6cN3jvzPN61g9ogUFi4s6NfxL9u2UdbgYOHCMwMcmRBCCBGaio+3cOSjtfziogksWjBC63CE0MRZqkpR2xbePtrE/ZfPJS3eqHVIQogB8su7WFVVm4BVwPlf+nyDqqrenpSngRn+uJ4ILFtD+6DnFYFnZhHg1yHXlY0dJBgNfk8UAUzNTqK4qoWuHpffzqmqKg9/XELBrz+hrCE85yF197ipah7YVjyL2USNDLgWQggRwV7dWk60Xsdl07K0DkUIzSiKwq8umUin08VDMuxaiLDkyza09N6KIhRFiQHOBkq+dMywz/3nJYD/+odEwNjsDp+SRenxRowGnX+TRQHYhOZVYE2i2+Wm+HirX87ndqv8+t39/G3lYdq7XawoqfXLeYOtsqkDVR3YoHOL2UiTw0mn03+JNyGEECJcdDpdvLWjgvMmZZIcF611OEJoKj8jnpsXjOD17RVsL5MRBUKEG18qi4YBKxVF2Q1sBZapqvqeoigPKopySe8x9yqKsk9RlCLgXuBG38IVgdbS6aTR4fQpWaQoClnJMVQ0OvwWV0Vjh9+HW3sV5CQBUFTu+5DrHpebH7+5m39tOMZtZ4wgNzWW9aX1Pp9XCzZ771a8AQw6zzCbAKhrlSHXQgghIs9He6tp6ezhmpnZWociREi4d/FoMs0mfvn2Xlxu2YUkRDjxZRvablVVp6mqOkVV1Umqqj7Y+/lfqqr6Tu+ff6qq6kRVVaeqqrpIVVWpQQxx3lXpviSLwLNqPVwqizLNJjISjOzyMVnU3ePm3qU7eWN7Bd87eww/u3A88/PT2HTEjjMMN0GcSBYNsA0NoLpFWtGEEEJEnqVbbeSkxDJ3ZKrWoQgREuKMBv7novHsq2rh5c1lWocjhBiA8J28KwJiMNUkfbEmx/gtWdTS6aS1sydglUWKolCQneRTZVGn08XtL2zjgz3V/M/XxnPf2aNRFIUF+Wm0dfWwu8L3qqVgK7c7MBp0pA9gIKHF7Dm2RpJFQgghIszR+nY2HbFz9cxsdIPYJivEUPW1ycOYNyqVhz8+QEObVJ8LES4kWSS+YDDVJH2xJsdgb+/G0d3jc0yVvUmnQFUWgWfI9ZH6dpodzgE/tq2rhxv+uYXVB+v43WWTufWMkSe+NndkKooC6w41+DPcoLA1OMhOiR3QC15LgqeyqKZFXggIIYSILK9uLUevU7hihlXrUIQIKYqi8OClE3F0u/jDRwe0DkcI0U+SLBJfUNbgICUumgSTb1vHrMmeZFOlH6qLTiSLAlRZBFCQ3Tu3aIAVQE2Obq57ZjPbyhr509UFfHNWzhe+nhwXzaThiWE5t8hmd5A9wARdUmwU0QYdtVJZJIQQIoI4XW7e2F7BorEZJ1qyhRCfyc9I4OYFI3h1Wzk7bDLsWohwIMki8QXldseAVqWfjLU3yeCPVrTKpsBXFk22JqIoAxtyXdfaxTVPbaK4qoUnvjWDSwv6XpE7Pz+NHbZG2rt8r7IKFlVVKR/EVjxFUbCYjdKGJoQQIqKsKKmlvq1LBlsLcQr3LhmNxWyUYdd+4I/uDSFOR5JF4gvK7O3k+iNZlORNFvm+Ea2yqYNog460uP7PzhkosymKUenx/R5yXdnUwVVPbqSswcE/b5zJORMsJz12QX4aPW6VLcfs/go34Jo7nLR29QwqcWhJMEkbmhBCiIiydIsNi9nIwrHpWociRMiKNxr4+dcmsLeyhVe22LQOJyy53CqPLTvIpP/9mHeKqrQORwxxkiwSJzhdbqqaOn2eVwSQFm8k2qDzW2XR8ERTwIdFFmQnUVTRhKqe+k7Hsfp2rnpiI/VtXbx46ywWjE475fGFeclEG3SsPxQ+rWi+zK6ymE3UtEplkRBCiMhQ1dTB6oN1XDkjG4NeXloLcSoXTxnG3JGeYdf29m6twwkr1c2dXPv0Jv786SGiDTqeXXtE65DEECe/0cQJVU0duNyqz5vQAHQ6BWuSfzaiVTZ2BLQFzWtqdhL1bd2njPlAdStXPrmRDqeLV26bw4zclNOe1xSlpzA3mXVhNLfIl614GWYjtVJZJIQQIkK8sb0CtwpXFUoLmhCnoygKv750Iu1dPTz8cYnW4YSNlQdqufDxteyuaOaRK6fy0wvGU1TRzJ6KZq1DE0OYJIvECf7ahOaVlRzjtza0QA639pp2miHXReVNXP3URnQKvHbHHCZlJfb73PPz0yipbqWuNTySKN7nQnby4CqL2rp6aAujGU1CCCHEYLjdKq9uLWdBfppfbrYJEQnGWBK4cV4eS7eW93sERKRyutz87oNibnpuKxkJRt69Zz5XzLDyjelZxETpeWlzmdYhiiFMkkXihLIGT4Ig108vdqzJsT5XFnU6XdS1dpGVFPgXYGMzE4g26Nhl++ovrc1HGrjumc0kmAy8fsc88jMSBnTuBfmeVrUNh8Ojuqjc7iAtPpo4o2HAj7WYPbOlZMi1EEKIoW5daT2VTR1cLYOthRiQ+84eTVq8DLs+lXK7g6ue3MiTa45w7ewc/nv3/BPvQcymKC4tGM7bu6po6XRqHKkYqiRZJE4otzuINuiwJPhn5as1OYaG9m6fpvUfb/YkHILRhhal1zFpuPkrlUWrDtRyw3NbsJiNvH7HvEHdOZyUlYjZZGB9mLSi2XzYiud9/kiySAghxFD36tZykmOjOHfiyRddCCG+KsEUxf98bTy7K5p5dWu51uGEnI/2VvO1x9dyqKaNv3xzGr/9xmRMUfovHHPd7Fw6nC7+s6NSoyjFUCfJInFCWYOD7OQYvw2StvYmeCp9qC7yPjYYbWgABdnJ7KlspsflBuDDPce57d/bGJkWz2t3zCUzcXCJNL1OYd6oNNYdqj/tAO1QYLM7Bt2OmGH2fI9kbpEQQoihrKGti0/2V3PZdCtGg/70DxBCfMElU4cze0QKf/i4hEYZdg14uir+9+293PnidnJT43j/3gVcPHV4n8dOtiYy1ZrIi5vKwuL9hQg/kiwSJ/iSIOiLtXfejS+taJVNjt5zBSdZNDU7kU6nmwM1rby5vYK7X97B5KxEXrl9DqnxRp/OPX90GlXNnRxr8H2OUyD5uhXPm1CTyiIhhBBD2Vs7KnG6VGlBE2KQFEXhwUsn0drZw8OfHNA6HM0drW/n8n9s4PmNZdw8fwRv3DWX3NS4Uz7mujm5HKptY8tRe5CiFJFEkkUCAFVVsdkdp/2BNBDZvQmeiibfKot0CoOu6BmoadnJAPy/94v5wetFzB2Vygu3zCYxJsrnc3vnFoX6VrTjTZ243OqghlsDxBsNxEXrqZHKIiGEEEOUqqos3Wpjek4SYywDm2MohPjM2MwEbpibxytbbOw+yZKZSPD2rkouenwtFY0dPH19Ib+8eEK/KhYvnjIcs8nAS5ttQYhSRBpJFgkAGh1O2rp6Bj2npi9p8UaiDTqfNqJVNHVgMZuI0gfnqZqdEkNybBQbDjdw9vgMnr1h5qCGPPclLzWWrKQY1h8K7WTRiU1oPjwXLGYTNa1SWSSEEGJo2lbWyOG6dq6ZlaN1KEKEvfvPGU1qnJFfvL0Pd4QNu+7odvGTN3Zz39JdjB9m5oP7zuCcCf2fgRYTrefyGVY+3Huc+ja5USv8S5JFAoCyhnYAcv2YLNLpFLKSYnxrQ2vsCNq8IvCUw944bwQ3zM3lH9+a8ZVBcr6ee35+KhsO14f01ofy3uSeLyuAM8xGaqUNTQghxBC1dEs58UYDF00ZpnUoQoQ9symKn39tHEXlTby2LXKGXR+saeWSv67jte3l3L1oFEtvnzOo9z3Xzc7F6VIj6nsngkOSRQL4rJrElwRBX6zJviWLqpo7GB7EZBF4Vnn++tJJAalmmp+fRktnD/uqmv1+bn+x2R1E6RUyzYNv/bOYTdKGJoQQYkhq6XTy/p4qLikYTmy0f6qPhYh0Xy/IYlZeCg99VELDEK+QUVWVV7fauOSv62h0dPP8TbP40XnjMAzyvUd+RjxzR6by8mZbxFVmicCS33ACAFvv0OXBzqk5GWtyDMv21wzqsS63yvGmTi6aEtxkUSDNG/XZ3KIp1iSNo+mbze7AmhyL3oeteBazieqWTlRVRVH8s11PCCGECAVv76qi0+nmGhlsLYTfKIrCry+dyEV/WceM3ywnWq8jzqgnNtrgmYdp1BNn9PzZ8znPf3/2OX3vcZ99LjPR5Je5o/7U1tXDz/+zh7d3VTFvVCp/uqaAjATfZ7NeNyeH7768k9WH6lg0NsMPkQohySLRy2Z3kJFgJCbav6tfrcmx1Ld109HtGvC5a1s76XGrQW1DC7T0BCPjMhNYX1rPdxbmax1On8rtDp9nV2UkGOnucdPc4SQpNtpPkQkhhBDae3WrjfHDzEzOStQ6FCGGlPHDzLxw8yx22Bpp63LR3tVDe3eP53+7XLR29lDd3Imj20Vbl+fzPaeopImL1vPK7XNC5gbtgepW7nhhGza7gx+cM4bvLMr36ebs5507IZO0eCMvbSqTZJHwG0kWCQDK7A5y/dyCBp+tvK9scpCfMbBtIZW97WtZyUMnWQSeVrQXNpXR6XT5dSaSv9jsDqZYfXsBbOltYatp6ZJkkRBCiCFjb2UzeytbePDSiVI5K0QAzMtPY17vBuHTUVWVrh437V09X0ggtfV+/P7DEm55fhtv3z0/6GMtvqzc7uC6ZzajU+CV2+Ywe2SqX88fbdBxzcxs/r6qlMqm4M58FUOXzCwSgH+qSfriTRaVD2JuUWWT5zHWIfbDbkF+Gt09brYda9Q6lK9o7nDS5HCS4+NzITPRmyySIddCCCGGjqVbbRgNOi6dmqV1KEJEPEVRMEXpSY03kp0Sy/hhZgrzUlg4NoOLpgznnzfOpLPbxc3/2kpbV49mcTY5urnxuS1097h46dbZfk8UeV0zKxsVWLrFFpDzi8gjySJBp9NFdUsnuSlxfj+3tXcG0mCGXFcM0cqiWSNSMOgU1pXWax3KV5R7B537mCyyJEiySAghxNDS0e3i7Z1VXDh5GImxoTUHRQjxVWMsCfz9W9M5VNvGd1/eQY/LHfQYOp0ubv/3dsrtHTx9fSGjLQPrtBgIa3Isi8dmsHRrOU4N/r+KoUeSRYKKxg5UFXJS/Z+USY83Eq3XUdG7jn0gKps6SI6NGnKbRuKMBqbnJLM+hJNFVh8HnWeYjQDUtg7tbRZCCCEix/t7jtPa1SODrYUII2eMTuf/Lp3EqgN1/Ob94qBe2+1W+cHrRWw5ZueRq6YGrKLo866bk0Nda9egFwwJ8XmSLBKfqybxf2WRTqeQlRxzYv7QQFQ2dgy5qiKv+flp7K1qprG9W+tQvsDmfS74OL/KFKUnMSZKKouEEEIMGa9utTEiLY5ZI1K0DkUIMQDXzs7htjNG8K8Nx/jX+qNBu+7vPizm/d3H+ekF47hk6vCgXPOsMRlkJcXw4qayoFxPDG2SLBKUNbQDvrcenYw1OWZQbWhDeTjbgtGpqCpsPNKgdShfYLM7SIqNwmzyvbzeYjZKskgIIcSQUFrbxtZjjVw9M1sGWwsRhh64YDznTLDw4Hv7WVES+Kqbf60/ytNrj3LD3FxuP3NkwK/npdcpXDs7hw2HGzhc1xa064qhSZJFApu9g9hoPWnxgdlalZU08GSRqqqeyqKkwCSwtDbFmkS80RByc4vKGzv8ljS0mE1Ut0gbmhBCiPD36lYbBp3C5dOtWocihBgEvU7hz9cUMGG4mXte3sn+qpaAXeujvdX8+r39nDvBwi8vDv7mxKsKs4nSK7y0SQZdC99Iskhgs7eTkxIbsB9k1uQY6tu66HS6+v2YRoeTDqdryLahRel1zBmZwoZQSxb5cSteRoKJWqksEkIIEea6e9y8uaOSs8dbSE8wah2OEGKQYqMNPHvDTBJMUdzy/NaAVMBvL2vkvqU7KchO4s/XTEOvC34lYnqCkfMmZvLG9vIBvf8S4sskWSSw+TFB0JfBbESraurdhJZkCkhMoWB+fhrHGhwnZkZpzeVWqWh0+LGyyEhtaxdut+qX8wkhhBBaWF5cg729m6tnyWBrIcKdxWzi2RsLae5wcuvz23B09/jt3Efq2rj1+a0MSzTxzPWFxETr/XbugfrWnFxaOnt4t6hKsxhE+PMpWaQoiklRlC2KohQpirJPUZRf93GMUVGUVxVFKVUUZbOiKHm+XFP4l6qq2OwOcgOaLPJUBw1kI5o3sTRU29AAFuSnAbDhcGhUF1W3dOJ0qX5tQ3O5VRpCbIi3EEIIMRCvbLExPNHEmaPTtQ5FCOEHE4cn8tdrp7Gvqpn7l+7C5Ycbm/VtXdz43FYUReFfN80iNV7bKsTZI1LIz4jnxc3SiiYGz9fKoi5gsaqqU4EC4HxFUeZ86ZhbgEZVVfOBx4CHfLym8KO61i46nW6ft1+dymAqiyq9lUVDtA0NID8jnowEI+tKQ2PIta3BuxXPf8kiQIZcCyGECFvldgfrSuu5sjBbk3YSIURgLB5n4RcXTeCT/TU89FGJT+dydPdwy/PbqG3t5NkbCslL8/+G6YFSFIXrZudQVN7E3spmrcMRYcqnZJHq4R2zHtX78eXU7KXA871/fgNYosgaiZBRZvdvgqAvGQlGovTKwJJFjR3EROlJjvV9K1eoUhSFBflpbCitD4lWrXI/PxcsZs8dldpWSRYJIYQIT69vrwDgqpnSgibEUHPjvDyun5vLU2uO8PIgK3BcbpV7X9nFnoomHr9mGtNykv0c5eBdNt2KKUrHS5vLtA5FhCmDrydQFEUPbAfygb+pqrr5S4dkAeUAqqr2KIrSDKQC9V86z+3A7QAWi4VVq1b5Gproh/WVTgCqS/ey6njgRlilGGHHgWOsiqnu1/FFpZ0kR7tZvXp1wGIKBak9Thrau3nxvRXkmLXrawZYe7AbnQIHd23msB/unjZ0uAFYs3U3uuqhm/QTQggxNLlVlRfXdzApVc+hXZs5pHVAQgi/OytBZVeanv/57x7s5YeYlNb/1+OqqvJCcTcrbD18a3w00XUlrFrlW5WSv83M0PHm9nLOSGggNkrqNcTA+JwsUlXVBRQoipIE/EdRlEmqqu793CF9PSu/UkahqupTwFMAhYWF6sKFC30NTfTDjmUHUZRDXHbeQqINgUsWjS7dTFtXDwsXzu/X8Y/sWcvoLCMLF84KWEyhYFxzJ0/v+ZSupBEsPHOkprG8dXwnWcmNLFm8yC/nc7rc/GD1hyQNy2XhwjF+OacQQggRLGsO1mHv3MJvLp/KwsnDtA5HCBEgs+Y5ufKJjTy5p4O3vjOL0ZaEfj3uidWHWWEr4Y6zRvLTC8YHOMrBSclv4pK/rqc+fgTXz83TOhwRZvyWHVBVtQlYBZz/pS9VANkAiqIYgETA7q/rCt+U2x0MT4wJaKIIPEOuvXOI+qOysWNIzyvyykw0MSo9jnWl2g+5ttn9twkNIEqvIy0+WmYWCSGECEvL9tcQE6Vn8bgMrUMRQgRQgimKZ2+ciTFKz03/2kp9W9dpH/P2rkp+/2EJF08dzk/OGxeEKAdnijWJKdZEXtxUhqpqP/ZChBdft6Gl91YUoShKDHA28OXau3eAG3r/fAWwQpVnasgoa2gP6LwiL2tyTO8wbddpj3V099DocJKVNPSTReDZirblqJ2untN/bwKp3M/JIoCMBBM1Laf/hSuEEEKEElVVWV5cw5lj0jBFadsmLoQIvKykGJ69oZD6ti5u+/e2U75n2Xi4gR++XsTsESk8cuUUdCE+/P662TkcrGlj67FGrUMRYcbXcpJhwEpFUXYDW4Flqqq+pyjKg4qiXNJ7zLNAqqIopcD3gQd8vKbwI5u9IyjJIm+VUH+qiyp7B2FbI6CyCGB+fhodThc7bU2axdDe1UNDezfZfn4uWMxGqSwSQggRdvZVtXC8uZOzx1u0DkUIESRTs5P409UF7LQ18cPXi/pcQHOwppXbX9hGXmocT327EKMh9JPJF08dToLJIIOuxYD5ug1tt6qq01RVnaKq6iRVVR/s/fwvVVV9p/fPnaqqXqmqar6qqrNUVT3ij8CF79q7eqhv6yInNRiVRZ5r9GcjWkVvQilSKovmjEpFp8AGDVvRyhsDsxXPYpbKIiGEEOFneXENioK0oAkRYc6fNIwHLhjHe7uP8+iyg1/4Wk1LJzf+cwsxUXqeu2kmiWGytTk22sDl0618uKeahn602AnhFdhBNSKkBSpB0BdvlVBF7zVPxVtZFAkziwDMpiimZidpOrfI1hC4ZFFDexdOl9uv5xVCCBEaVFWlu2fo/Yxftr+GGTnJpMYbtQ5FCBFkd5w5kqsLs/nrylLe2F4BQFtXDzc9t5XmDifP3TTzxI3wcHHd7By6XW5e21ahdSgijEiyKIKV9SYIcoNQWZSRYCJKr/SrsqiqqQODTiEjwRTwuELFgvw0iiqaael0anJ9mz1wySJVpV+DAoUQQoQXVVW5b+kuvvb42iGVMKpq6mBfVQtnT5AWNCEikaIo/OYbk5g3KpWfvrWbdYfquevF7RyoaeXv35rBxOGJWoc4YKMtCcwekcLLW8r6bK8Toi+SLIpg5QFKEPRFr1MYnhTTr2RRZVMHmYkm9CE+LM6f5uen4XKrbD6izaLAcruDBJOBxBj/ltNazJ47stKKJoQQQ88b2yt4p6iKQ7VtvLlj6Nyt/rS4BkDmFQkRwaL0Ov5x3QxyUmL59j83s/ZQPb+7bDJnjUnXOrRB+9acXMrtHaw5VKd1KCJMSLIogpU1ODCbDCTFRgfletbkmH63oUXKvCKvaTlJxETp7VmpaAAAIABJREFUWa9RK5qtdxOaovg3QWcxe6rDZMi1EEIMLeV2B79+dz+zRqQwNTuJv60sHTItx8uKaxmRFseo9DitQxFCaCgxNornbpxFXmocPzpvLFcVZmsdkk/Om5hJWnw0L26yaR2KCBOSLIpgNrsjKMOtvaxJsf2uLIqUeUVeRoOeWSNSNJtbZLM7yA5A73VGb2VRrSSLhBBiyHC5VX7wWhEAf7xyKvctyaeisYP/7KzUODLftXY62Xi4nrPHZ/j9BooQIvzkpMay8ocLuXtRvtah+CzaoOOqwmxWlNRQ1Y8N1UJIsiiC2ewOclOCd9fMmhxDXWsXnU7XSY9xutzUtHRijbDKIvDMLSqtbaO6ObiJFbdbpbyxIyCJw9Q4I3qdQrUki4QQYsh4eu0Rthyz86tLJpKdEsuisRlMzkrkbytL6Qnz6qK1h+pxulTOmZCpdShCCOF335yVgwos3SLVReL0JFkUoVxulYpGB9lBmFfkZU3xJIBOlcmubu7ErUbOJrTPm5+fBhD0VrTa1i66e9wBeS7odQrp8UaZWSSEEEPE/qoW/vjJAc6fmMnl07MAzzDYe5eMpqzBwdu7qjSO0DfL99eQHBvF9JwkrUMRQgi/y06JZeGYdJZuLR8yrcMicCRZFKGqWzpxutSgbELz8q6YPFUrmvdrWUnhtY7SH8ZlJpAaFx30ZFGgNqF5WcxGmVkkhBBDQKfTxfdf20ViTDS/vWzyF9q0zh6fwfhhZv66shRXmG7a6XG5WXGglkXjMjDo5SWyEGJo+tacXGpbu1i+v0brUESIk9+EEaqsoR0IziY0L+/Q6lMliyp7q44isbJIp1OYOyqVdaX1qGrwXmgHOlmUYTZRK5VFQggR9h5ddpCS6lYevmIKKXFfXI6hKAr3LcnnaH077xaFZ3XR9rJGmhxOzpEtaEKIIWzh2AyykmJ4cXOZ1qGIECfJoghVHuAEQV8sZhMGnXLKjWiVvYmkYYmmYIUVUhbkp1Hb2sXhuragXbPc7kBRCNgGukyziZpWqSwSQohwtvFwA0+vPcK1s3NYNC6jz2POnZDJuMwE/rLiUFhWFy3bX0O0XscZYbwaWwghTkevU/jmrGzWlzZwJIjvOUT4kWRRhCprcGDQKUFNyuh1CsOTYk5TWeQgPcGIKUoftLhCiXdu0bpDwWtFK7c7GJ4YQ7QhMD8OLGYjTQ7nKQebCyGECF0tnU5++HoRuSmx/PzC8Sc9TqdTuGfxaA7XtfPBnuNBjNB3qqqyrLiGuaNSiTcatA5HCCEC6qqZ2Rh0Ci9tlkHX4uQkWRShbHYH1uSYoPfkW5NjTl1Z1NTB8AjchOaVnRJLbmos60obgnZNm91BdkrgvucZZk9Csq5VWtGEECIc/eqdfRxv7uDRqwuIO00i5YJJmYzOiOcvKw7hDqPqosN1bZQ1ODh7grSgCSGGvowEE+dNyuSN7RVyQ1eclCSLIpQnQRD8IdKeZNHJK4uqmjqxRnCyCDzVRZuONARt/bDN7ghoO6KlN1kkQ66FECL8fLjnOG/tqOS7i/KZnpN82uN1OoV7lozmYE0bH+2rDkKE/rFsfy3gGdQthBCR4LrZOTR3OHlvd3hVgorgkWRRhLLZHUHdhOZlTY6ltrWrzwy2261S2dQRkcOtP29BfhptXT0UVTQH/Fod3S5qW7sCnCwyAp4NfEIIIcJHbUsnP/vPHiZnJXLPktH9ftzXJg9jZHocj38aPtVFy4trmJyVyLDEyH4NIoSIHHNHpjIqPY7/fXsvN/xzC39dcYiNhxvo6JZKI+EhTdkRqLnDSZPDGdTh1l7W3kRQVVMHI9Pjv/C1+vYuunvcARu0HC7mjkxFUWB9aT0zck9/F9cX3pbAQFaZWRK8lUXShiaEEOFCVVV+/OZuHN0uHru6gKgBtK3rdQr3LM7ne68W8cn+Gs6flBnASH1X39bFDlsj9y8Zo3UoQggRNIqi8PfrZvD8xmNsP9bII58cBMCgU5iYlcjM3GQK85KZkZtCeoJR22CFJiRZFIE+24QWF/RrW5M9SYnKPpJF3k1okZ4sSo6LZtLwRNaV1nPvAO7kDobNHvhkUVJsFNF6HbVSWSSEEGHjpc02Vh2o41cXTyA/I/70D/iSi6cM58/LD/H4p4c4b6IFRVECEKV/rCipRVXh7AnSgiaEiCxjMxP47TcmA9Dk6GaHrZFtxzwf/95UxjPrjgKQlxpLYV4KhbnJFOalMCo9LqR/rgv/kGRRBCpr8CaLtKss6mtuUWVTb7IowtvQwDO36Nl1R2jv6jntMFFf2OyBfy4oikKG2Sgzi4QQIkwcrW/n/71fzBmj07h+bt6gzmHQ6/ju4tH88PUiPi2uDenB0cv31zA80cSEYWatQxFCCM0kxUazeJyFxeM8P6+7elzsrWxhe5mdrccaWVFSyxvbKwBIjo1iRm4KhXnJzMxLZlJWIkZDZG6zHsokWRSBTiQINJhZZDGbMOiUPjeinagskmQRC/LTeGL1YbYcs7NobODudNrsDmKj9aTGRQfsGuD5e5c2NCGECH09Ljffe3UX0QYdD18xFZ1u8HeOLy0YzuOfHuLPnx5iyfiMkLwL3el0sfZQPVcWWkMyPiGE0IrRoGdGbjIzcpO5/UxPe/KR+na2H2tk6zE728oaWV5cA0C0QUeBNYlLCoZzacFwEkxRGkcv/EGSRRHIZm8nNS6a+ABWrJyMXqcwLMl00sqiBJMBs/xwoTAvmWiDjvWH6gOaLCrv3YQW6BfImWYTxdUtAb2GEEII3/191WF2lTfxl29OIzPR5NO5ovQ67l40ip+8uYdVB+pYNC702rzWl9bT4XRx9vjQrXwSQohQoCgKo9LjGZUez1UzswHPzLdtxxrZXmZnzcF6/ue/e/l/7xdz0ZRhXDMrh+k5SZKID2OSLIpANrsjoDNqTseaFNt3sqixI+LnFXmZovTMzEtm/eGGgF6n3N4RlAqzDLOR1QelskgIIUJZUXkTf/70EJdMHc7FU4f75ZyXTbfy+Kel/PnTQywcmx5ybxqWF9cQbzQwe2SK1qEIIUTYSYs3cv6kTM6flMnPLlTZXdHM0q023tlVxevbKxhjiefqmTlcNi2L5AB3Mgj/6/9qCzFklDU4yNWgBc3LmhzTdxtaU8eJmUbCM7eo+HgL9W2BSbKoqoqtt7Io0CxmE21dPbR19QT8WkIIIQauo9vF917bRXq8kf+7dJLfzuupLspnV3kTaw7V++28/uB2qywvruWsMekya0MIIXykKApTs5P43WVT2PLzs3no8snERhv4v/f2M/u3n3LPKzvZUFqP261qHeqAqKrKf3dWstPWqHUoQSfJogjjdLmpaurQZLi1lzU5lpqWLrp6XF/4vFQWfdH8UWkAbAhQdVF9WzcdTleQkkWedZuyEU0IIULT7z8s5khdO49cOZXEWP+2g18xw8rwRBN/Xn4QVQ2dNwm7K5upa+3inBAevi2EEOEozmjg6pk5/Pfu+Xx0/xlcOzuHNQfruPaZzSz64yr+trI0LN4X1LV2cccL27n/1V28sKlM63CCTpJFEaaysQO3qs0mNC9v9VBV02c/IFo6nbR29TBckkUnTMpKxGwysD5Ad2KDsQnNy5LgmXtRHQa/FIa6rh4Xb++qDLu7OkKIwFlzsI7nN5Zx0/w8FoxO8/v5ow067lqUzw5bU8BugAzG8v016HUKC8emax2KEEIMWeMyzfzqkols/tkS/nR1AcMSTTz88QHm/n4Ft/97GytKanCF4OvS93ZXce5jq1l1sI6fXTiOh6+YqnVIQSczi8LAk6sPk2E2cvGU4Rj0vuX3gpkgOBlvsqii0cGItDhANqH1Ra9TmDcqjXWl9aiq6vc5D+W9z4XslMB/zzPMnmRRrWxE09xHe6u5b+ku4qINIb3KWggRHE2Obn70RhH5GfH85PxxAbvOVYVW/railD8vP8S8UakhMbtoeXENM/OSSYqVORpCCBFopig9X5+WxdenZXG0vp2lW228ub2CT/bXMCzRxJWF2VxVaMWarN37VICGti5++fY+3t9znKnWRP541VTyMxI0jUkrUlkU4qqaOvjdhyV879UiFv9xNUu32OjucQ/6fGW9CYLc1Dh/hThg1t5E1eeHXJ9IFkll0RfMH51GZVMHZQ1fnfHkK2/iMBg/kL1taDVSWaS54uOtAHy4t1rjSIQQWlNVlZ//dy8Nbd386eoCTFGBm9tjNOi586yRbDlmZ9MRe8Cu01/ldgcl1a2yBU0IITQwIi2On14wno0/XcIT35rOGEsCf1lxiDP+sJLr/7mFT/ZVa1IF/9He45z72BqW7a/hx+eP5c275kVsoggkWRTytpV5Bmn9+PyxJMVG8cBbe1j0yCpe2HiMTqfr1A/uQ7ndQbRBR0aC0c+R9p8lwYhBp5xIEIFnuDVIZdGXLcj3tAOsK/V/K5rN7sBiNgb0zYFXvNFAbLSeGqks0tyB6hbAc0fd6Rp84lkIEf7eKari/d3Huf/s0UzKSgz49a6ZlUNGgpHHPz0U8GudzrL9NQAyr0gIITQUpddx/qRhPH/zLNb9ZDH3Lh7NoZpWbn9hO2c/5imUGMx73oFqcnRz39Kd3PniDoYlmXj3ngV8Z2G+z1094S6y/9+Hge3H7MRE6bn9jJG8ffd8/nXTTDITTfzi7X2c+YeVPLP2CI7u/m+YKmtoJyclFp1Ou/Jvg17HsCTTFzaiVTZ1EG3QkRanXRIrFOWlxpKVFMP6ACWLgtWOqCgKmWYTNa1SWaS1gzVtpMZF09zhZGMIzQ4RQgRXVVMH//PfvUzPSeLOs0YF5ZqmKD13nDWKjUca2HJU2+qi5cU1jM6I17TSWgghxGeykmL43jljWPvjRTz+zWnERut54K09LHhoJX9bWUqzwxmQ6y7fX8M5j63h/d3H+f45Y/jPd+YzNjNyq4k+b9DJIkVRshVFWakoSrGiKPsURbmvj2MWKorSrCjKrt6PX/oWbuTZbmukIDsJg16HoigsHJvBG3fO5eXbZjMqPZ7fvF/MGQ+t5O+rSmntPP0/IJtd201oXtak2K+0oWUlxWiaxApFiqIwPz+VDYcb/D74rdzuIDuIz4UMszEsth4MZS2dTiqbOrhuTi6x0XppRRMiQqmqyo/eKMLlVnn0qoKg3jm9dlYOafHaVhc1O5xsPmqXuW1CCBGCDHodl0wdzrvfXcBLt85mwnBz70DsT3nw3f0nOlJ81dzh5AevFXHrv7eRGhfN29+dz71LRhMV4dVEn+fLd6IH+IGqquOBOcDdiqJM6OO4taqqFvR+POjD9SJOe1cPxcdbKcxL/sLnFcUz+PiV2+fwxp1zmZSVyB8+OsCCh1byp+UHT5p1VVUVW29lkdaykmO+kCyqaOqQeUUnMT8/jeYOJ/uqmv12zq4eF9UtnUF9LljMJmlD09jBas+8oqnWRBaNy2DZ/uqQ3D4hhAisD/ZUs760gZ9eOJ68tOBW1sRE67njzJGsK61ne5k21UWrDtbicqsyr0gIIUKY56Z5Gv++eRYf3HsG503M5PmNxzjzDyu5f+lO9le1DPrcqw7Uct5ja/jvrkruXZzPO99dwMThgW/HDjeDThapqnpcVdUdvX9uBYqBLH8FJqCovAmXW2V6bvJJjynMS+H5m2fxznfnM2tECn9afoj5D63gDx+V0ND2xTfm9vZu2rtdIZEssibHUNPaSVePpwfVW1kkvmreKM/copUldX47Z2VjB6oa3K14nmRRJ6oqyQmtHKjxJIvGWBK4YFIm9W3dbDum/aBZIUTwOF1uHv64hDGWeK6dlaNJDNfNySElLpo/f1qqyfWXF9eSFh/NtOwkTa4vhBBiYCYMN/PY1QWs+fEibpyXx7L9NVz4+Fq+/exm1vduju6P1k4nD7y5mxuf20qCycB/vjOP7587lmiDVBP1xS/fFUVR8oBpwOY+vjxXUZQiRVE+VBRloj+uFym8w62n55w8WeQ1xZrE09cX8uF9Z3DW2HT+sfowCx5ayf97f/+J1p/PNqGFQrIoFlWF402ddDpd1Ld1yXDrk0hPMLIgP43HVxzi9W3lfjmndxNaMJNFGQlGunrcNHcEpt9YnN6B6lbiovVYk2NYNDYDo0EnrWhCRJilW2wca3Dwk/PHodeo9Ts22sBtZ4xkzcE6dtoag3rt7h43qw7UsmScRVrfhRAizGQlxfCLiyaw4YEl/Oi8sRQfb+W6ZzZz8V/X8U5RFT2nWN6y7lA95z22hte2lXPXwlG8d+8CpljlpsGpGHw9gaIo8cCbwP2qqn65FmwHkKuqapuiKBcC/wVGn+Q8twO3A1gsFlatWuVraGFv2c5OsuIVdm5eP6DHXTkc5ptjeO+Ik2fXHeW59Uc5y2og1eR5UVR9eB+raooDEXK/1ds9FUXvr9pEaownrtbqY6xaVallWCHrujyVxkaFH72xm827i/naiCgUZfAvcj+1eRI2FSW7aDsWnEx6w3HPIPb3Pl2HNUGy91rYXNJBZgysXr0agAkpCu/sKOPMhFp0PjyfhBDhoaNH5eE1DsYm69BV79f0tcCIHpX4KPjV65v53gxT0K67v8FFa2cPme5aea0phBBhbKICv52rZ2NVNB8ea+XeV3byYIzCeXlRnJllwGjwvLbt7FF57UA3K8p7yIxT+PlsE6NM1WxcJzdMT8enZJGiKFF4EkUvqar61pe//vnkkaqqHyiK8ndFUdJUVf3KaidVVZ8CngIoLCxUFy5c6EtoYc/tVrln1SdcNCWbhQsnD+oc1+LZfvaPVYd5c0cFTpenPO/y884Kyrr0U8lvdPD7LStJzRntqShau4Ulc6czZ2SqpnGFsiUL3fzw9SLeKKoiPi2LX140YdB3Rde/vx+joYxLz1vkU9JpIGKP2vlH0UZyxk7mzDHpQbmm+Iyqqty/ZhkXTMpk4cIpANjNFXz/tSKSRxUwrR8VjEKI8PbYsoO0dB/iX7fO6VfVcqAd1pfy8McHSMkvCNrd3VXv7MNosHHn1xcRE63tayEhhBC+Oxf4hVtleXENT605wkvFjbxfpnL9nFwmW5P4zbv7qGzq4bYzRvCDc8dq/j44nAw6WaR43mE+CxSrqvroSY7JBGpUVVUVRZmFp+1NdjX3w6HaNlo7e5hxinlF/ZGbGsfvL5/CPUtG8+Tqwzhdakj8A8k0m9DrFCoaO/DmKmRm0alFG3T86eoC0hOMPLvuKHVtXTx61VSMhoH/fdp6N6EFK1EEYDEbAaiRjWiaqGvtosnhZIzls1WgS8ZbiNIrfLS3WpJFQgxxta2dPL32CBdMygyJRBHA9XNzeWrNER7/tJRnbigM+PVU1fNm4ozRaZIoEkKIIUSnUzh3YibnTsxke5mdJ1cf4S8rS1FVyEuN5fU75lKYl6J1mGHHl8qi+cC3gT2Kouzq/dzPgBwAVVWfAK4A7lIUpQfoAK5RZbptv2zr3RBS6GOyyCsrKYYHL53kl3P5g0GvY1iiiYpGBzoFdApkJgavDD1c6XQKv7hoAhazkd9+UEJjezdPfnsGCaaoAZ3HZu8I+qBzi9nz91vbKhvRtFDSuwltbOZnyaLEmCjmjUrjw73VPHDBuKAmD4UQwfWXT0vp6nHzo/PGah3KCQmmKG5ZMIJHlx1kb2Uzk7ICu4mmpLqVisYOvrsoP6DXEUIIoZ0ZuSk8dX0Kh+va2GVr4sLJw+QGwSD5sg1tnaqqiqqqU1RVLej9+EBV1Sd6E0WoqvpXVVUnqqo6VVXVOaqqbvBf6EPb9rJGUuOiQ2IYdaBYk2OobOqgoqkDi9lElF7m2PTX7WeO4rGrp7LlqJ2rntx0Yoh5f6iqSrndEfRkkSlKT2JMlFQWaeRg7ya0sZ+rLAK4YFImNruD/ccHv35UCBHajta388oWG9+clc3I9Hitw/mCG+blkWAy8JcVhwJ+reX7awBYPD4j4NcSQgihrVHp8Vw+wyqJIh/Iu/MQtb2skRm5yUP6Tr81OZaKxg4qGzukBW0QvjHNyrM3zqSsoZ3L/rGBI3Vt/Xpco8NJW1cP2UFOFoGnFU2SRdooqW4lLd5IarzxC58/Z4IFnQIfyVY0IYashz8uIdqg474lY7QO5SsSY6K4af4IPt5XQ3GAk9bLi2soyE4iI0EqmYUQQojTkWRRCKpr7aKswUFhXmjMFAgUa3IM1S2dHGto9wy5FgN21ph0XrltDh3dLq54YiNF5U2nfYzN7gAIemUReFrRalqkDU0LB2taGZv51YqC1Hgjs0ek8qEki4QYknbaGvlgTzW3nTGS9ATj6R+ggZvn5xFvNPDXFaUBu0ZNSydFFc2cM8ESsGsIIYQQQ4kki0LQ9rJGAJ+HW4c6a3Isqgo1LV1SWeSDqdlJvHHXPOKMeq55ahOrDtSe8ngtk0UZCaYBtcwJ/3C5VU+yyGLu8+sXTM6ktLaN0trWIEcmhAgkVVX53YclpMVHc9uZI7UO56SSYqO5cV4eH+w9fuI1kL99Wuz53SjJIiGEEKJ/JFkUgraX2YnW6wI+6FFrn08QSWWRb0akxfHmXfMYkRbHrc9v460dFSc9trw3WZSdEvzvucVspLa1C7db5twHU7ndQafTzbjMhD6/ft7ETAA+3CPVRUIMJSsP1LLlqJ17l4wm3ujLTpPAu/WMEWQlxXD9s5vZUFrv9/MvL64hJyWW0RmhNbNJCCGECFWSLApB28samWxNHNRK9HBi/VyCSCqLfJeRYOLVO+Ywa0QK33+tiCdXH6av5YPldgdp8UZio4P/xsFiNtHjVmlo7w76tSOZdxPamJMkiyxmEzNyk6UVTQzYB3uO805RldZhiD643CoPfXiAvNRYvjkrR+twTispNpo37pxHVnIMNz631a9z1BzdPawrrefs8ZYhPQtSCCGE8CdJFoWYTqeLvZUtFA7xFjSAYYkm9DrPizarVBb5RYIpiudumslFU4bxuw9L+M37xV+p4rHZHeRoUFUEnsoiQIZcB5l3E9oYy8nvqF8wKZP9x1uwNTiCFZYIcw1tXfzw9SJ+9HoR1c3ybzrUvLmjggM1rfzovHFhs200M9HEa3fMZWKWme+8tJ3Xtpb75bxrD9XT3ePm7AmyBU0IIYTor/B49RBB9lY20+1yMz0CkkUGvY5Ms2cjyXCpLPIbo0HP49dM46b5eTy77ij3v7qL7h73ia/b7A5NNqEBZPT+fde2yhvLYDpQ3UpOSuwpq8lOtKLtPR6ssESYe2L1YTqdLlxulceDsPZc9F+n08Vjyw4yNTuJCydnah3OgCTFRvPSrbOZn5/Gj9/czVNrDvt8zmX7azCbDMzMS/FDhEIIIURkkGRRiNkWIcOtvazJMSTHRmnSEjWU6XQKv7xoAj85fxzvFFVx87+20tbVg9PlpqqpQ5Ph1sCJ5KBsRAuukuoWxp6kBc0rOyWWyVmJ0oom+qWmpZN/byzjsulWrp2dw2tbyzlW3651WKLXc+uPcby5kwfOHxeWbVex0QaevWEmX5syjN9+UMLvPyzps626P1xulRUltSwalxE2FVZCCCFEKJDfmiFme1kjeamxpMWH5npbf7tw8jC+Pi1L6zCGJEVRuGvhKB65ciobjzRwzVMb2V3RhFtFs8oi79pmaUMLnk6ni2MNDsZaTp0sAjh/Uia7yps43twRhMhEOPvrilJcbpX7lozmu4vzidLreHTZQa3DEkCTo5u/rypl0dh05o5K1TqcQYs26Hj8mmlcNzuHJ1Yf5qdv7cE1iOUIO22N2Nu7OXu8bEETQgghBkKSRSFEVVV2lDUyIzdyyqRvmJfH/148UeswhrQrZlh55oZCDte28+1ntwBoVlkUpdeRFh8tlUVBdLiuDZdbPW1lEXjmFgF+HSwrhp5yu4OlW21cPTOb7JRYMhJM3DQ/j3eKqthf1aJ1eBHvbytLaevq4ScXjNM6FJ/pdQq/+fok7lmcz9Kt5dz90g66elwDOsey4hqi9ApnjU0PUJRCCCHE0CTJohByrMFBQ3t3xLSgieBZNDaDV26fgynKs2FPq2QReLa21UplUdB4h1v3J1k0Mj2esZYEaUUTp/SXFYdQFIXvLs4/8bk7zhyF2WTgkU8OaBiZqGh08PyGMi6fbmVcplnrcPxCURR+cO5YfnHRBD7aV32irbq/lu+vYc7IVMymqABGKYQQQgw9kiwKIduO2QEozJNkkfC/guwk3rprHv/39UkMSzRpFofFbKRakkVBU1LdSpReYURaXL+OP29SJluP2alrleov8VVH6tp4c0cl35qdy7DEzxYTJMZGcefCUawoqWVr7+8yEXyPfnIQRYHvnzNG61D87pYFI/jjlVPZdMTOdU9vwt7efdrHHKlr43Bdu7SgCSGEEIMgyaIQsr2sEbPJQH76yddbC+GLvLQ4vj0nV9OBpxazSdrQguhgdSuj0uP7Pdj1gkmZqCp8sl+qi8RX/Wn5IaL1Or6zaNRXvnbTvBGkJxj5w0eDH0YsBm9/VQv/2VXJjfPzhuyG0ctnWHnyWzMoqW7lyic2UNV06vlqnxbXArBkfEYwwhNCCCGGFEkWhZDtZY1Mz01Gpwu/zSVC9FeG2URDexdOl1vrUCLCgerWfrWgeY3LTCAvNVbmFomvKKlu4d3dVdw0P6/PJQwx0XruXTKarccaWXWgToMII9tDH5VgNkXxnbPyT39wGDt7goV/3zyL2pYurvjHBg7XtZ302GXFNYwfZsaarF3rtRBCCBGuJFkUIpoc3RyqbaNQ5hWJIc5iNqKqUN8m1UWB1tLppKq5kzH92ITmpSgK508axsbDDTQ5Tt/mISLHY8sOEh9t4PYzR570mKsLs8lJieUPHx/APYjNVWJwNpTWs/pgHXcvGkVi7NCfzTN7ZCqv3D6HbpebK5/YyJ6K5q8cY2/vZtsxO+dIVZEQQggxKJIsChE7bU0ATJdkkRjiLAmeeUnSihZ4B6s9w63HDaCyCDytaD1ulWX7awK2xHCUAAAgAElEQVQRlghDuyua+HhfDbeeMZKk2OiTHhdt0PH9c8ZQfLyF9/YcD2KEkcvtVvndhyVkJcVw/dw8rcMJmklZibx+5zxiovR88+lNbDzc8IWvryypxa16KpGEEEIIMXCSLAoR28rs6HUKBdlJWociREBlJnqTRTLkOtAODGAT2udNsSaSlRQTdq1onU4X7xRVsa/qq1UGwjd//OQgybFR3Lwg77THXjJ1OOMyE3j0kwPSbhoE7+05zp7KZr5/zpgTGy8jxYi0ON68ax7Dk0zc8NwWPt732c+s5cU1WMxGJg1P1DBCIYQQInxJsihEbC9rZMIwM7HRBq1DESKgMsyeWSe1kiwKuAPVrcQbDWQNcNitoiicNzGTtYfqae10Big6/+lxuXl1q43Fj6zi3ld2ctFf1vHAm7ul1dFPth6zs/pgHXeeNYqEfqwf1+kUfnjuWI41OHhtW3kQIoxc3T1uHvn4AOMyE/j6tCytw9FEZqKJ1+6Yy4RhZu56cTuvbSun0+li9cE6loy3yBxIIYQQYpAkWRQCnC43u8qbmCEtaCICpMYZ0esUaUMLggPVrYyxxA9q+90FkzPpdrlZUVIbgMj8w+1WeaeoinMeW8NP3txDhtnEP28s5Jb5I3hjewWLHl7F02uO0N0j1S2Dpaoqj3x8gLR444BanJaMz2B6ThKPf3qITqcrcAFGuJc3l2GzO3jggnHoIzgpkhQbzUu3zmZ+fho/fmM3339tF45uF+dIC5oQQggxaJIsCgHFx1vodLolWSQigl6nkP7/2bvz8CjL8+3j5519T0hCEggQ1oRdlgiIorFuuFTRqlVb0WpFa621tbW2tcuve62vba1bcdeqte5Wca2CIAKyr0nYSQJJgGwTsmfu94+ZxIgBQmYmM5N8P8eRw8nMM89zBYaYnHPd1x0XyTI0H7PWqqDs+HZC62jqkH7qHx8ZkEvRrLX635YynXffYt36/BpFhIbokbm5evXmmfrK6HTddcFYvfuDU5U7tJ9+v2CLzvnbx/rfljK2c++GT7Yd1PKdFbrl9BGKjuj6EidjjH4ye7TKahr11NJdviuwD3M0NOu+D7fppOEpOi27v7/L8bvYyDA9ek2uzp84QAs2lComIlQnDU/xd1kAAAQt1jwFgJW7KiVJuUMJi9A3pCdEqpSwyKf2OxpVVdesnOPYCa2jkBCjc8al6+VVJapvaj2uoMCXlm4/oL+8W6A1e6o0NCVGf79ikr46ceCXlpqM6B+nJ741TR8VlOu3b27W9U+t1KnZ/fXLC8ZoZFr3/kz6Gmut7nmvQAMTo3Tl9CHH/fzp7hDjoUXbdeX0IUrowhI2dN38j3eo4lCTfnre6G51D/ZGkWGhuu+KyRqWEqu4qLA+N8MJAABvorMoAKzaU6mBiVEakHh8c0WAYJWWEKVylqH5VL57J7TsbnYWSdK54weovrlViwr9vxRtbVGVvvnocl31yHLtq2rQHy+ZoPd/eJoumpR51Jkkp+ek6d3bTtUvLhirNXsqdc7fFuv//rtJ1XWBP4vJ3z7ML9faoirdesYoRYZ175fuH5+To6q6Zj3y8Q4vV9e3ldc06NHFO3XBxAGaOIiNMToKDTH60Tk5uum0Ef4uBQCAoEZY5GfWWq3aVampQ5P9XQrQY9ITIlXmoLPIlwrcYVF3O4skafqwZPWLCdfbflyKll9aoxueXqk5D3yizftqdNf5Y7Twx3m6ctoQhYd27X9h4aEhuv6UYVr4ozx9/cTBemrpLuXd85GeWbZbLezW1Smn0+r/vVeorJQYfW3qoG6fZ3xmos6fOECPLdmp/Q4CYm/56wdb1eJ06sfn5Pi7FAAA0EsRFvlZSVW9SmsaNHUI7wyi70iPj1JVXTODb32ooMyh1LhIpcRFdvscYaEhOmtsuj7cUq7Glp79u9p14JBu+/canfv3xVq2/aBuPytbH99xur49a3i3l5akxEXqDxdP0Jvfm6Xs9Hj94rWNuuAfS7R02wEvVx/83t5Yqs37anTbmaO6HModye1nZauxxakHPtrmper6tm3ltfrPyiJ9Y3qWslJi/V0OAADopQiL/GzV7rZ5RXQWoe9IT4ySJDoNfKig1KHRHixBa3Pu+AFyNLbokx4KVPZV1+unr2zQmfcu0jubSnXjqSO0+Cen63tnjFJcpHfG7I0dmKB/z5uhh74xRbWNLbrq0eW66ZlV2nOwzivnD3atTqt73y/QyLQ4XXiC59uxD+8fp8tzB+nZ5btVVMGfsaf+8m6+osND9b2vjPR3KQAAoBcjLPKzVbsrFRMR6pVf6oBgkZ7gCovYEc03Wp1WW8sdyvZgCVqbmSNTFB8Zprc3+HYp2sHaRv3uzc067S8L9dKqIl01fYg+/vHpuvPc0UqKifD69YwxOnfCAH3ww9P0o7Oztahwv8786yLd/U6+ahtbvH69YPL62hJt339IPzwr22vbsd96xigZY/S3D7Z65Xx91dJtB/TupjLNO3W4R12DAAAAx8JuaH62anelJg1OUpiHbf5AMElPcP2SU8aQa5/YU1GnhmanV0LoyLBQnTEmTe9vKVNzq9PjJUmd+e+6vbrz5fWqb27VJVMG6ftnjNLg5BivX6czUeGhuuUro3Tp1MG6+518Pbhwu15aVayfzB6tiycffXh2b9Tc6tTfPtiqcQMTNHtchtfOOyAxWteclKXHluzUTacN1ygvBJl9ibVWT3+6W79/a4sGJ0fr27OG+bskAADQy3X7p35jzGBjzEfGmC3GmE3GmO93cowxxtxnjNlmjFlvjJniWbm9S21ji7bsq1FuVj9/lwL0qPR4Oot8qcALO6F1NHv8AFXVNWv5jgqvnK+jZ5fv1q3/XqOxAxP03g9O1T2XndBjQVFHGYlRuvfrk/TKzTM1IClat7+4TlfMX6a6pr7VZfTiymLtqajT7Wdnez0o+07eSMVEhOme9wq8et7errq+Wd/512r96o1NOmVUql7/7imKieC9PgAA4FuevEXcIul2a+0YSTMkfdcYM/awY86VNMr9MU/SQx5cr9dZV1Qlp5WmEBahj0mKCVdEaAhhkY+0h0XpcV4532nZ/RUdHqq3N+7zyvnaPLRwu37+6kZ9JSdNz1w/XSPT/N9tMmVIP736nZn64yUT9NnuCv3k5Q2y1vq7LEmuNxhKq333b6ahuVX/+HCrJg9J0uk5aV4/f3JshG6YNVzvbirT2qIqr5+/N1pbVKXz71usD7aU6Wfnjdajc3OVHOv9ZZkAAACH63ZYZK3dZ61d7b7tkLRF0uGTMC+S9LR1WSYpyRgzoNvV9jIrd1XKGGnyEMIi9C3GGKUlRBIW+UhhmUNDkmO81n0QHRGq00f317ubytTq9Dw4sdbqz+/k68/v5OvCEwbq4aundnuHM18ICTG6ctoQ/ejsHP133V49sniHv0tSbWOLLnv4U826+0Pd/U6+6pu8vzvd8yv2aF91g350do6M8c3yu+tnDVNKbITufiffJ+fvLay1enTxDl328FJZK/3nppM079QRfW5ZJAAA8B+vDJ8wxgyVNFnS8sMeypRU1OHzYn05UOqzVu2pVHZavBKjw/1dCtDj0hOimFnkI/mlNcrx8tD82eMH6EBto1bvqfToPE6n1V2vbdRDC7frG9OH6K9fn+STOUjecHPeCJ03IUN/ejtfi7fu91sdLa1O3fLcahWWOXRadpoeXLhdZ/11kf63pcxr16hratEDH23XjOHJmjkixWvnPVxcZJi+e/pILd1+UEu29swOe8Gmqq5JNzy9Sr97a4vyctK04NZZmsKbSgAAoId5/LazMSZO0suSbrPW1hz+cCdP6fRtaWPMPLmWqik9PV0LFy70tLSA5rRWn+2o0/QBYb3+awU6YxoatLPWyevfy5parXYeqNPYhCav/tmGt1iFhUiPvP2ZDo3p3i5MLU6rRzc0atm+Vp03LFxnJh3Q4o8Xea1GX7gw3Wr9TqObnl6hX50UrbSYng22rLV6ZnOTFha16NpxEcobXKsT46P01OYGXf/USk1JC9U3xkQoJdqzut7a0aQDtc26cZzRokW+/TsZ7LRKiTL6xUuf6ZczonzWxRSMtlW26sF1japutLpqdITOGuzQmhWf+LssAADQB3kUFhljwuUKip611r7SySHFkgZ3+HyQpL2dnctaO1/SfEnKzc21eXl5npQW8PJLa1T/7mJ9dcY45U0d5O9ygB63sGaT8lcVq7f/W+9pm/ZWy/n+Ep09bbzyThjo1XPnlXymTfscOu200477F/yG5lbd8txqLdtXpztm5+jmvJFerc2Xxkw+pK/+Y4keLwzTKzfP7NHhwo8u3qEPi7boxlOH66fnjZEk5Un61oVOPbZkp/7+v0L94tMm3XbmKH3r5GHd6tKqaWjW9xd9pLyc/rrh4mne/QKOoDKhSHe8tF6N/Udr9nhWpzudVvMX79BfPivQwKQoPXH9FJ0wOMnfZQEAgD7Mk93QjKTHJG2x1t57hMPekDTXvSvaDEnV1lrvTkgNUit3uZZy5A6ltRx9U0ZilGobW1Tb2Ld2m/K1wjLXcOvRXl6GJrmWopVU1Wt9cfVxPa+2sUXfeuIz/S+/XL+dMz6ogiJJykqJ1X1XTlZBmUM/fml9jw28fmdjqX6/YIvOHZ+hn8we/YXHIsJC9J28Efrgh6dp5ohU/WFBvi64b4lW7jr+HeseX7JT1fXNuv2sHG+VfkyXTM7UiP6xuue9Qq/MwQpmFYeadN1Tn+lPb+frnHHpeuvWWQRFAADA7zzpWz9Z0tWSvmKMWev+OM8Yc5Mx5ib3MQsk7ZC0TdIjkm72rNzeY9XuSqXGRWiIH7aIBgJBeoJrKVM5Q669Kr/UofBQo6GpsV4/91lj0hUWYvT2xtIuP6fyUJO+8cgyrdhVob9ePklXz8jyel09IS8nTXecM1pvrd+nf37s+4HX64qqdNsLa3TCoCT99euTjjjYeFC/GD16Ta4emZur2sYWXfrwp7rjpXWqONTUpetUHmrSY4t36pxx6ZowKNGbX8JRhYWG6Edn52hbea1eWV3cY9cNNCt2Vui8vy/W0u0H9ds54/XAVVOUEMUcQwAA4H/d7qW31i5R5zOJOh5jJX23u9fozVbtrtTUrH7MakCflR4fJUkqq2nU8P7e2eIdUmGpQyP6x/lkaHRiTLhOGpGidzbu009mH3vHrLKaBl392HLtOlinf35zqs4cm+71mnrSTacN18a91br7nXyNHZCgU7P7++Q6xZV1uv6plUqNi9Qjc3O7tFPcWWPTdfLIFN33v216dPEOvbe5TD89d7Qumzr4qDto/fPjHaptatEPe7CrqM3s8RmaOChRf/tgqy6cNFCRYYGzI56vOZ1WDy7cpnvfL1RWSqxevXamxg3subAOAADgWAJzC5pertzRoD0VdcrNSvZ3KYDfpCW4wqJyB51F3lRQ6vD6TmgdnTt+gHYdrFN+qeOoxxVV1Omyhz9VSWW9nvzWiUEfFEmSMUZ/uXSistPj9b3n12j3wUNev0ZNQ7Oue/IzNba06olrT1T/+K4PE4+JCNOd547Wgu/PUnZavH7y8gZd9s9PtWXf4XtPuJQ7GvTk0p268ISBPn3NHIkxRnecM1olVfV6dtmeHr++vxyobdQ1T6zQPe8V6oKJA/Xf751CUAQAAAIOYZEfrN7tmlc0JYt5Rei72pahlVYTFnlLTUOz9lY3+PQX/7PHpSvE6KhL0QrLHPraQ0tV09CsZ2+YoZkjUn1WT0+LiQjT/KtzJUk3PrNKdU3em7nV3OrUzf9arR37D+mf35yqUend+3vMTo/XCzfO0F8unaidBw7pgn8s0e/f2qxDh80He2jhdjW3Wn3/jFHeKL9bThmVqpkjUvTAR9v6xPyypdsP6Ny/L9aKnRX64yUT9PcrJikusucGpgMAAHQVYZEfrNxVqYiwEI3PTPB3KYDfxEWGKSYiVGU1jf4updcodHf75HQzZOiK1LhInTg0We9s7HyvgnVFVbr8n59Kkl6Yd5Im9cJBvUNSYvSPKyer0IsDr621uuvVjVqy7YD+cMkEzRzpWcBmjNFluYP1vx+epstzB+mRxTt15r2L9M7GfbLWaq+7m+drUzL9vgz0x+fk6OChJj2+ZKdf6/ClVqfV3z4o1DcfXa6EqDC9fsvJunLaEJaiAwCAgEVY5Aer9lRqYmZin5rPABzOGKP0hCiVsQzNa9qWhvl6SdG54zNUWFar7ftrv3D/p9sP6qpHlik+Kkwv3nSSX5Y29ZRTs/vrjtmugdcPL/J84PXDi3bohZVFuuX0kbo8d7AXKnTpFxuhP14yUS9/Z6aSYiJ0079W67onP9Pv3tosK6vvfcV/XUVtJg/pp7PHpuuRj3eorBcOvK+qa9Lcx5frbx9s1ZzJmXrjllM0OoM3iwAAQGAjLOphDc2t2lhSralDWYIGpMVHshuaFxWWORQXGabMpGifXmf2+AGSXFu7t/nfljJd88QKDUyK1os3zlRWivd3Yws0N546XBdMHKC7383XosL93T7PW+v36c/v5OurJwzUD8/K9mKFn5ua1U//veVk3XX+GK3YWaEFG0p15bQhGhwgO3LeMXu0nNbqmsdXqKah2d/leM2O/bW6+MGl+mxnpe6+dKLuvXySYll2BgAAggBhUQ/bUFKt5larqUMIi4CMxCiWoXlRfqlD2elxPl/akpEYpclDkvS2eyna62tLdOMzqzQ6I14v3HiSMhKjfHr9QGGM0d2XTlROery+99zqbg28XrW7Uj/4z1rlZvXTXy6deNSdyzwVFhqib88arg9uP00/OjvbZ8FUd4xMi9PDV0/V9v21uuGplWpobvV3SR5buv2ALn5wqWrqm/X8vOle7RgDAADwNcKiHrZyl2u49VSGWwOuZWg1DV6Z+dLXWWtVWObbndA6Ond8hjaW1Oiedwt02wtrNTWrn5799nQlx0b0yPUDRdvAa2OM5j296ktDpI9mz8E63fD0Sg1IjNL8ubmKCu+ZpckDEqN1y1dGKSkmsP6uZo3qr3suO0HLd1botn+vVaszeL8v/HvFHs19bIXS4iP12ndP1lR2PwUAAEGGsKiHrdpdqWGpsUqJ6/p2yEBvlRYfqcYWp2rqe/8uSL5W7mhUVV2zT4dbd3Sueyna/R9t01dy0vTUddMUHxXeI9cONENSYnT/VZO1tdyhH7+0rkvhZ3Vds659coVanVZPXHtinwvZjuSiSZm66/wxemdTqX71xsagC5JbnVZ/WLBFd76yQTNHpurlm2cGzFI/AACA40FY1IOstVq9p5KuIsAtPcG1XIkh154raB9u3TODcwcnx+iCiQN0xYmD9fDVU3usKyZQzRrVXz+ZPVoLNpTqoUXbj3psU4tTN/5rpYor6jX/6ql+340s0Hx71nDdeNpw/WvZHv3jw23+LqfLDjW26MZnVmn+xzs096QsPX5NrhL6aIAKAACCH1MWe9COA4dUcaiJsAhwawuLSqsblN1DHTG9VUEP7YTW0f1XTemxawWDeacO18a9NfrLuwUaOyBBeTlpXzrGWqs7X1mvZTsq9LevT9L04Sl+qDTw3Tl7tPY7GnXv+4VKjYvUVdOH+Luko9pXXa/rn1yp/NIa/d+F43TNzKH+LgkAAMAjdBb1oFW7XfOKcgmLAElSeoJrOWZv3C67pxWUOdQ/PpLlTH5kjNGfvzZBOenxuvX5Ndp14MsDr//x4Ta9srpEPzgzW3MmZ/qhyuDg+rOcqLyc/rrrtQ16d1PpsZ/kJ+uLq3TR/Z9oT0WdHr/2RIIiAADQKxAW9aBVuyqVEBWmESw5ACRJafGuzqJyBzuieaqg1NFj84pwZDERYXpkbq5CQozmPbPyCwOvX1tTonvfL9QlkzN16xkj/VhlcAgPDdGD35iiCYOS9L3n12jFzgp/l/QlCzbs0+X//FQRYSF6+TszO+0mAwAACEaERT1olXtekS+3RgaCSXREqBKiwugs8lCr02prec/thIajG5wco/uvnKJt5bXtA69X7KzQHS+t1/Rhyfrj1ybIGP4/0BUxEWF64toTNahftL791Gftyy39zVqrBz7appufXa2xAxL02ndP5t8fAADoVQiLekhVXZO2ldcqdyjb5wIdpSdEERZ5aE9FnRqanXQWBZBTRqXqp+eO0YINpfrVG5s075mVGpQcrX9ePVWRYX17GPjxSo6N0NPXTVNUeKjmPr5cxZV1fq2nsaVVt7+4Tn95t0AXTRqo526YoVR2OAUAAL0MYVEPWb3HNa9oyhDmFQEdZSRGqayGZWie8Mdwaxzbt2cN00WTBurpT3crxBg9ce2JSophplR3DOoXo6eum6a6plbNfXyFKg81+aWOikNN+uajy9vnTv3t65P6/E6AAACgdyIs6iErd1UqNMRo0uAkf5cCBJS0+CiV01nkkYJSh4yRRqUzDy2QGGP0p0sm6tqZQ/XEtScqKyXW3yUFtTEDEvTo3FwVV9bruqc+U11Ty7Gf5EXbyh2a88AnWldcrfuunKzvnzmK5YQAAKDXIizqIat2V2rcwARFR/AOJNBRVkqM9tU0EBh5oLDMoSHJMYqJCPN3KThMdESofn3hOJ3AGwVeMX14iu67YpLWFVXplufWqLnV2SPXXbx1vy5+cKnqmlr073kzdOEJA3vkugAAAP5CWNQDmludWldcpalZLEEDDnfehAxZK72xbq+/Swla+aU1ymZeEfqI2eMH6DcXjdeH+eW68+UNstb69Hr/WrZb1z7xmTKTovXad09mOTkAAOgTCIt6wOa9NWpodhIWAZ0YmRav8ZkJen0tYVF3NDS3atfBOo1mXhH6kG/OyNL3zxill1cX6+53C3xyjYbmVv3mv5t112sbdeqoVL1400ka1C/GJ9cCAAAINKxZ6AErd7uGWxMWAZ2bMylTv3tri7aV12pkGnN3jsf2/bVqdVo6i9Dn3HbmKJU7GvXQwu3qHxep604Z5tH5Wp1Wm/fWaPG2/fpk2wF9tqtSTS1OXXfyMP38/DEKDWE+EQAA6DsIi3rAqt0VykyK1oDEaH+XAgSkC08YqD8s2KLX15bo9rNz/F1OUGnbCY3OIvQ1xhj9bs54Haxt1G/e3KzU+MjjniW0++AhLdl2QJ9sO6Cl2w+qqq5Zkuvf09UzsnTG6DTNHJnqi/IBAAACGmGRj1lrtWp3paYPS/F3KUDASkuI0skjU/XqmhL98Kxsdhg6DgVlDoWHGg1NZact9D2hIUb3XTlZcx9bodv/s1bJMRE6ZdSRw52KQ01aut0VDi3ZdkBFFfWSpAGJUTprTLpOGZWqk0akKC0+qqe+BAAAgIBEWORjxZX1KqtpZAkacAxzJmXq9hfXadXuSuUOTfZ3OUGjoNShEf3jFB7KCDr0TVHhoXrkmlxd/vCnuvGZlXrhxpM0PjNRkmvu0IqdFe3h0Ka9NZKk+MgwnTQiRTfMGq6TR6ZqeGosITUAAEAHhEU+tnoP84qArjhnfIZ+/toGvba2hLDoOBSWOjRtGH9e6NsSo8P11HXT9LWHluraJ1Zo7klDtWzHQa3c7Zo7FB5qNGVIP91+VrZOHpWqiZmJCiNgBQAAOCLCIh9buatSsRGhzBMBjiEuMkxnjc3Qm+v36ZcXjFNEGL/IHUt1fbP2Vjcom+8vgDISo/TUddN02cNLde/7hRqdEa+5M7J0yqhUTRuWrJgIfuQBAADoKn5y8rFVuys1aUgS72ACXXDx5IH677q9WlS4X2eNTfd3OQFvaxnDrYGORqbF6f0fniZrpf7xkf4uBwAAIGiRYPhQbWOL8ktrNDWLJSJAV8wa1V/JsRF6bW2Jv0sJCvnundCy0wmLgDapcZEERQAAAB4iLPKhtXuq5LTMKwK6Kjw0RBdMHKAPNpfJ0dDs73ICXmGZQ3GRYcpMivZ3KQAAAAB6EY/CImPM48aYcmPMxiM8nmeMqTbGrHV//NKT6wWblbsrZIw0eUiSv0sBgsacyZlqbHHqnY2l/i4l4OWXOpSdHscuTgAAAAC8ytPOoiclzT7GMYuttZPcH7/x8HpBZdXuSuWkxyshKtzfpQBBY/LgJGWlxLAU7RistSoscygnI8HfpQAAAADoZTwKi6y1H0uq8FItvUqr02rNniqWoAHHyRijiyZlaun2gyqtbvB3OQGr3NGoqrpm5aTH+bsUAAAAAL1MT+yGdpIxZp2kvZJ+ZK3d1NlBxph5kuZJUnp6uhYuXNgDpfnOnppW1Ta2KKauVAsXHvR3OUBQGdjklLXSX19ZrHOH0ZnXmY0HWiRJ9aU7tHDhbj9XAwAAAKA38XVYtFpSlrW21hhznqTXJI3q7EBr7XxJ8yUpNzfX5uXl+bg033pm2W5JG3X17JM1JCXG3+UAQef5nUu0ocbqz3mz/F1KQNr68Q5JW/T12bOUHBvh73IAAAAA9CI+3Q3NWltjra11314gKdwYk+rLawaKMRnxmnfqcA1OZpcioDvmTM7U5n01Kixz+LuUgFRQ5lD/+EiCIgAAAABe59OwyBiTYdzb9Bhjprmv1yfWZOUOTdbPzhvDLkVAN10wcaBCQ4xeW8Og684UlDqUkx7v7zIAAAAA9EIehUXGmOclfSopxxhTbIy53hhzkzHmJvchl0ra6J5ZdJ+kK6y11rOSAfQF/eMjdcrIVL2+dq+cTr5tdNTqbNsJjbAIAAAAgPd5NLPIWnvlMR6/X9L9nlwDQN918eRM3fbCWq3cXalpw5L9XU7A2FNRp8YWJ2ERAAAAAJ/w6TI0APDE2ePSFRMRqldZivYFBaU1ksQyNAAAAAA+4evd0ACg22IiwnT22HQt2LBPv75wrCLDQnvkuv9dt1fvbCrVwMQoZSZFK7NfjAYmRWlQUowSosP8PousoLRWxkij0uP8WgcAAACA3omwCEBAmzM5U6+t3auFBft1zrgMn1+vqKJOd7y0XhFhIWpoblVji/MLj8dFhmlgUluIFCXdqiUAACAASURBVK3MJHeQ5L7dPz5SoSG+DZMKymo0JDlGMRF8CwcAAADgffymASCgnTIyValxEXptTYnPwyJrrX726gaFGOnt78/SgMQoHTzUpJLKepVU1WtvVb2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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 我们使用revenue_adj算作是调整后的收益\n",
    "df_revenue = df.groupby('release_year')['revenue_adj'].mean()\n",
    "df_budget = df.groupby('release_year')['budget_adj'].mean()\n",
    "df_p = df_revenue/df_budget\n",
    "\n",
    "# 绘制图形\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(3,1,sharex=True,figsize =(20,20))\n",
    "\n",
    "ax1.plot(df_budget.index, df_budget.values);\n",
    "ax1.set_title('Average Budget')\n",
    "ax1.grid(axis=\"y\")\n",
    "\n",
    "ax2.plot(df_revenue.index, df_revenue.values )\n",
    "ax2.set_title('Average Revenue')\n",
    "ax2.grid(axis=\"y\")\n",
    "\n",
    "ax3.plot(df_p.index,  df_p.values   )\n",
    "ax3.set_title('Average Revenue/Budget')\n",
    "ax3.grid(axis=\"y\")\n",
    "\n",
    "fig.suptitle(\"The Budget, Revenue and Budget/Revenue Between 1960 and 2015\", fontsize=14);\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 我们可以根据上面的两个折线图得出结论：\n",
    "- 全球票房累计从1960年开始稳步提高\n",
    "- 全球票房收益率最高的时期是在二十世纪七八十年代，而我们熟知的星球大战也是从那个时代开始的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分析二：最近五年，什么类型的电影能得到更高的投资收益率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 首先，我们要找到最近十年所有电影的数据 \n",
    "df_10 = df[(df.release_year > 2010) & (df.release_year <= 2015 ) ]\n",
    "\n",
    "# 然后我们从genres中获取所有的类型，并组成一个list Action|Adventure|Science Fiction|Thriller\n",
    "move_genres = []\n",
    "for s in df_10.genres:\n",
    "    for name in s.split('|'):\n",
    "        if name not in move_genres:\n",
    "            move_genres.append(name)\n",
    "            \n",
    "# 然后我们根据所有genres类型进行遍历，如果该电影是相应的电影系列，那么就把票房相应的加上去\n",
    "genres_revenue = []\n",
    "\n",
    "for name in move_genres:\n",
    "    rev_sum = 0\n",
    "    for df_num in df_10.index:\n",
    "        if name in (df_10.loc[df_num,'genres']).split('|'):\n",
    "            rev_sum += df_10.loc[df_num,'revenue_adj']\n",
    "    genres_revenue.append(rev_sum)\n",
    "    \n",
    "# 然后我们把move_genres与genres_revenue组合成一个新的dataframe\n",
    "gr_df = pd.DataFrame(data = genres_revenue, index = move_genres, columns =[ 'revenue'])\n",
    "\n",
    "# 然后我们绘制一个bar图，按照金额从小到大排列\n",
    "gr_df.sort_values(by = 'revenue', inplace = True, ascending=False )\n",
    "\n",
    "gr_df.plot(kind = 'bar', title = 'Different genres movie revenue in last ten year', figsize = (12,6), rot = 45 );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 根据上表可以发现，在最近十年，冒险类和动作类影片更受欢迎，获得的电影票房更多"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分析三： 最近五年，哪位导演能够带来更大的投入收益率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\tcguo\\Anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:543: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self.obj[item] = s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ratios</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Angel Gracia</th>\n",
       "      <td>26881.720430</td>\n",
       "      <td>90.154018</td>\n",
       "      <td>2.423495e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chris Lofing</th>\n",
       "      <td>426.644100</td>\n",
       "      <td>91999.959520</td>\n",
       "      <td>3.925124e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Travis Cluff</th>\n",
       "      <td>426.644100</td>\n",
       "      <td>91999.959520</td>\n",
       "      <td>3.925124e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>William Brent Bell</th>\n",
       "      <td>101.758490</td>\n",
       "      <td>949744.281352</td>\n",
       "      <td>9.664454e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>John Pogue</th>\n",
       "      <td>89.174335</td>\n",
       "      <td>184218.210154</td>\n",
       "      <td>1.642754e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          ratios     budget_adj   revenue_adj\n",
       "Angel Gracia        26881.720430      90.154018  2.423495e+06\n",
       "Chris Lofing          426.644100   91999.959520  3.925124e+07\n",
       "Travis Cluff          426.644100   91999.959520  3.925124e+07\n",
       "William Brent Bell    101.758490  949744.281352  9.664454e+07\n",
       "John Pogue             89.174335  184218.210154  1.642754e+07"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 根据数据，我们发现有些影片中没有导演，而且有些影片中预算和收益都不正常，这都会影响我们寻找出最佳投入收益比的导演，所以我们需要在现有数据上进行筛选。\n",
    "df_director = df[(df.director.notna() &(df.budget_adj >=1) & (df.revenue_adj >=1) & (df.release_year > 2010) & (df.release_year <= 2015 )) ]\n",
    "\n",
    "# 强制把director名称更换为str模式\n",
    "df_director.loc[:,'director'] = df_director.loc[:,'director'].astype('str')\n",
    "\n",
    "# 我们先找到所有的导演\n",
    "director_name = []\n",
    "\n",
    "for name in df_director.director:\n",
    "    for single_name in name.split('|'):\n",
    "        if single_name not in director_name:\n",
    "            director_name.append(single_name)\n",
    "\n",
    "# 我们需要得到每一位导演的电影预算和收益\n",
    "director_budget = []\n",
    "\n",
    "for name in director_name:\n",
    "    budget_sum = 0\n",
    "    for df_num in  df_director.index:\n",
    "        if name in df_director.loc[df_num,'director'].split('|'):\n",
    "            budget_sum +=  df_director.loc[df_num,'budget_adj']\n",
    "    director_budget.append(budget_sum)\n",
    "            \n",
    "director_revenue = []\n",
    "\n",
    "for name in director_name:\n",
    "    revenue_sum = 0\n",
    "    for df_num in  df_director.index:\n",
    "        if name in df_director.loc[df_num,'director'].split('|'):\n",
    "            revenue_sum +=  df_director.loc[df_num,'revenue_adj']\n",
    "    director_revenue.append(revenue_sum)\n",
    "    \n",
    "# 我们计算相应的投资收益比\n",
    "director_io =[]\n",
    "for i in range(len(director_budget)):\n",
    "    if director_budget[i] == 0:\n",
    "        director_io.append(0)\n",
    "    else:\n",
    "        director_io.append(director_revenue[i]/director_budget[i])\n",
    "        \n",
    "# 最后，我们以导演名字为索引，他的投资收益比为结束，来组成一个新的dataframe\n",
    "director_iodf = pd.DataFrame(index = director_name, data = director_io, columns =['ratios'])\n",
    "director_iodf['budget_adj'] = director_budget\n",
    "director_iodf['revenue_adj'] = director_revenue\n",
    "\n",
    "#最后，我们得到投入收益比最大值的导演\n",
    "director_iodf.sort_values(by= ['ratios'], ascending = False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 根据上表可以看出，投入收益比最高的导演是Angel Gracia，他指导的电影投入是90.154，但是却获得了242万的票房收入，真是一位厉害的导演啊。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分析四：如果现在你和你们团队有3000万美金，想找个片子来获得收益，那么你跟你的团队会考虑拍摄哪种类型的片子，并且准备找谁当导演呢。\n",
    "- 首先我们只有3000万美金，那么我们需要找到最近几年中跟我们预算相似的且投入收益比最高的电影。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#首先，我们先筛选近五年的电影\n",
    "df_invest = df.query('release_year >2010')\n",
    "\n",
    "#然后我们再寻找预算在2500万和3500万之间的电影\n",
    "df_invest = df_invest.query('budget_adj > 25000000 and budget_adj < 35000000')\n",
    "\n",
    "#然后我们剔除掉这里面没有导演的条目\n",
    "df_invest = df_invest[df_invest.director.notna()]\n",
    "\n",
    "# 由于我们投资时希望能够少投入多收益，所以也需要一个io列\n",
    "df_invest['io_ratio'] = df['revenue_adj']/df['budget_adj']\n",
    "\n",
    "director_invest = df_invest.copy()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 在初步得到筛选数据后，我们可以根据两种情况进行判断：\n",
    "- 选择在这个投资区间内收益最高的电影导演，然后根据该导演擅长的电影类型，让其选择拍何种类型的电影。\n",
    "- 选择在这个投资区间内收益最高的电影类型，然后根据电影类型来选择更适合此类型拍摄的电影导演。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>io_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>112.000000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>1.120000e+02</td>\n",
       "      <td>1.120000e+02</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>112.000000</td>\n",
       "      <td>1.120000e+02</td>\n",
       "      <td>1.120000e+02</td>\n",
       "      <td>112.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>141428.660714</td>\n",
       "      <td>1.456220</td>\n",
       "      <td>3.156312e+07</td>\n",
       "      <td>7.123199e+07</td>\n",
       "      <td>108.919643</td>\n",
       "      <td>684.758929</td>\n",
       "      <td>6.091964</td>\n",
       "      <td>2012.848214</td>\n",
       "      <td>2.973169e+07</td>\n",
       "      <td>6.706808e+07</td>\n",
       "      <td>2.247472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>90489.215368</td>\n",
       "      <td>1.102993</td>\n",
       "      <td>2.889316e+06</td>\n",
       "      <td>6.988716e+07</td>\n",
       "      <td>21.029854</td>\n",
       "      <td>664.308314</td>\n",
       "      <td>0.740603</td>\n",
       "      <td>1.471714</td>\n",
       "      <td>2.790166e+06</td>\n",
       "      <td>6.564026e+07</td>\n",
       "      <td>2.190090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8967.000000</td>\n",
       "      <td>0.010335</td>\n",
       "      <td>2.635000e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>2.502576e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>60693.000000</td>\n",
       "      <td>0.779706</td>\n",
       "      <td>3.000000e+07</td>\n",
       "      <td>1.445281e+07</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>221.750000</td>\n",
       "      <td>5.575000</td>\n",
       "      <td>2011.000000</td>\n",
       "      <td>2.762455e+07</td>\n",
       "      <td>1.383231e+07</td>\n",
       "      <td>0.474182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>114148.500000</td>\n",
       "      <td>1.167979</td>\n",
       "      <td>3.000000e+07</td>\n",
       "      <td>5.429199e+07</td>\n",
       "      <td>105.500000</td>\n",
       "      <td>475.000000</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>2013.000000</td>\n",
       "      <td>2.908194e+07</td>\n",
       "      <td>5.163240e+07</td>\n",
       "      <td>1.729769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>216102.750000</td>\n",
       "      <td>1.824410</td>\n",
       "      <td>3.500000e+07</td>\n",
       "      <td>1.056576e+08</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>902.000000</td>\n",
       "      <td>6.525000</td>\n",
       "      <td>2014.000000</td>\n",
       "      <td>3.219999e+07</td>\n",
       "      <td>9.720495e+07</td>\n",
       "      <td>3.396800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>414419.000000</td>\n",
       "      <td>7.137273</td>\n",
       "      <td>3.700000e+07</td>\n",
       "      <td>3.483199e+08</td>\n",
       "      <td>247.000000</td>\n",
       "      <td>3542.000000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>3.489833e+07</td>\n",
       "      <td>3.208343e+08</td>\n",
       "      <td>10.244702</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  id  popularity        budget       revenue     runtime  \\\n",
       "count     112.000000  112.000000  1.120000e+02  1.120000e+02  112.000000   \n",
       "mean   141428.660714    1.456220  3.156312e+07  7.123199e+07  108.919643   \n",
       "std     90489.215368    1.102993  2.889316e+06  6.988716e+07   21.029854   \n",
       "min      8967.000000    0.010335  2.635000e+07  0.000000e+00   63.000000   \n",
       "25%     60693.000000    0.779706  3.000000e+07  1.445281e+07   95.000000   \n",
       "50%    114148.500000    1.167979  3.000000e+07  5.429199e+07  105.500000   \n",
       "75%    216102.750000    1.824410  3.500000e+07  1.056576e+08  118.750000   \n",
       "max    414419.000000    7.137273  3.700000e+07  3.483199e+08  247.000000   \n",
       "\n",
       "        vote_count  vote_average  release_year    budget_adj   revenue_adj  \\\n",
       "count   112.000000    112.000000    112.000000  1.120000e+02  1.120000e+02   \n",
       "mean    684.758929      6.091964   2012.848214  2.973169e+07  6.706808e+07   \n",
       "std     664.308314      0.740603      1.471714  2.790166e+06  6.564026e+07   \n",
       "min      14.000000      4.500000   2011.000000  2.502576e+07  0.000000e+00   \n",
       "25%     221.750000      5.575000   2011.000000  2.762455e+07  1.383231e+07   \n",
       "50%     475.000000      6.100000   2013.000000  2.908194e+07  5.163240e+07   \n",
       "75%     902.000000      6.525000   2014.000000  3.219999e+07  9.720495e+07   \n",
       "max    3542.000000      8.100000   2015.000000  3.489833e+07  3.208343e+08   \n",
       "\n",
       "         io_ratio  \n",
       "count  112.000000  \n",
       "mean     2.247472  \n",
       "std      2.190090  \n",
       "min      0.000000  \n",
       "25%      0.474182  \n",
       "50%      1.729769  \n",
       "75%      3.396800  \n",
       "max     10.244702  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 我们先选择在此区间内收益最高的电影导演\n",
    "# 我们查看一下数据：\n",
    "director_invest.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 根据已有的数据可知，我们希望收益和投入产出比都能够比正常更高，我们可以根据箱形图来得到收益和投入产出比的上限：分别是9.72+1.5*(9.72-1.38)=22.23，投入产出比的上限为：3.396+1.5*(3.396-0.474)=7.779"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
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       "      <th>io_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>254470</td>\n",
       "      <td>tt2848292</td>\n",
       "      <td>3.877764</td>\n",
       "      <td>29000000</td>\n",
       "      <td>287506194</td>\n",
       "      <td>Pitch Perfect 2</td>\n",
       "      <td>Anna Kendrick|Rebel Wilson|Hailee Steinfeld|Br...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Elizabeth Banks</td>\n",
       "      <td>We're back pitches</td>\n",
       "      <td>...</td>\n",
       "      <td>115</td>\n",
       "      <td>Comedy|Music</td>\n",
       "      <td>Universal Pictures|Gold Circle Films|Brownston...</td>\n",
       "      <td>2015-05-07</td>\n",
       "      <td>1264</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2015</td>\n",
       "      <td>2.667999e+07</td>\n",
       "      <td>2.645056e+08</td>\n",
       "      <td>9.914007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>198663</td>\n",
       "      <td>tt1790864</td>\n",
       "      <td>7.137273</td>\n",
       "      <td>34000000</td>\n",
       "      <td>348319861</td>\n",
       "      <td>The Maze Runner</td>\n",
       "      <td>Dylan O'Brien|Ki Hong Lee|Kaya Scodelario|Aml ...</td>\n",
       "      <td>http://themazerunnermovie.com/</td>\n",
       "      <td>Wes Ball</td>\n",
       "      <td>Run - Remember - Survive</td>\n",
       "      <td>...</td>\n",
       "      <td>113</td>\n",
       "      <td>Action|Mystery|Science Fiction|Thriller</td>\n",
       "      <td>Ingenious Media|Twentieth Century Fox Film Cor...</td>\n",
       "      <td>2014-09-10</td>\n",
       "      <td>3425</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2014</td>\n",
       "      <td>3.131710e+07</td>\n",
       "      <td>3.208343e+08</td>\n",
       "      <td>10.244702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3398</th>\n",
       "      <td>55721</td>\n",
       "      <td>tt1478338</td>\n",
       "      <td>2.208685</td>\n",
       "      <td>32500000</td>\n",
       "      <td>288383523</td>\n",
       "      <td>Bridesmaids</td>\n",
       "      <td>Kristen Wiig|Rose Byrne|Maya Rudolph|Wendi McL...</td>\n",
       "      <td>http://www.bridesmaidsmovie.com/</td>\n",
       "      <td>Paul Feig</td>\n",
       "      <td>Save the date</td>\n",
       "      <td>...</td>\n",
       "      <td>125</td>\n",
       "      <td>Romance|Comedy</td>\n",
       "      <td>Universal Pictures|Relativity Media|Apatow Pro...</td>\n",
       "      <td>2011-04-28</td>\n",
       "      <td>1145</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2011</td>\n",
       "      <td>3.150544e+07</td>\n",
       "      <td>2.795584e+08</td>\n",
       "      <td>8.873339</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id    imdb_id  popularity    budget    revenue   original_title  \\\n",
       "32    254470  tt2848292    3.877764  29000000  287506194  Pitch Perfect 2   \n",
       "637   198663  tt1790864    7.137273  34000000  348319861  The Maze Runner   \n",
       "3398   55721  tt1478338    2.208685  32500000  288383523      Bridesmaids   \n",
       "\n",
       "                                                   cast  \\\n",
       "32    Anna Kendrick|Rebel Wilson|Hailee Steinfeld|Br...   \n",
       "637   Dylan O'Brien|Ki Hong Lee|Kaya Scodelario|Aml ...   \n",
       "3398  Kristen Wiig|Rose Byrne|Maya Rudolph|Wendi McL...   \n",
       "\n",
       "                              homepage         director  \\\n",
       "32                                 NaN  Elizabeth Banks   \n",
       "637     http://themazerunnermovie.com/         Wes Ball   \n",
       "3398  http://www.bridesmaidsmovie.com/        Paul Feig   \n",
       "\n",
       "                       tagline    ...     runtime  \\\n",
       "32          We're back pitches    ...         115   \n",
       "637   Run - Remember - Survive    ...         113   \n",
       "3398             Save the date    ...         125   \n",
       "\n",
       "                                       genres  \\\n",
       "32                               Comedy|Music   \n",
       "637   Action|Mystery|Science Fiction|Thriller   \n",
       "3398                           Romance|Comedy   \n",
       "\n",
       "                                   production_companies release_date  \\\n",
       "32    Universal Pictures|Gold Circle Films|Brownston...   2015-05-07   \n",
       "637   Ingenious Media|Twentieth Century Fox Film Cor...   2014-09-10   \n",
       "3398  Universal Pictures|Relativity Media|Apatow Pro...   2011-04-28   \n",
       "\n",
       "     vote_count vote_average  release_year    budget_adj   revenue_adj  \\\n",
       "32         1264          6.8          2015  2.667999e+07  2.645056e+08   \n",
       "637        3425          7.0          2014  3.131710e+07  3.208343e+08   \n",
       "3398       1145          6.5          2011  3.150544e+07  2.795584e+08   \n",
       "\n",
       "       io_ratio  \n",
       "32     9.914007  \n",
       "637   10.244702  \n",
       "3398   8.873339  \n",
       "\n",
       "[3 rows x 22 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 所以，我们进一步缩小选择范围\n",
    "director_invest_min = director_invest[((director_invest['revenue_adj'] >22.23e+07)&(director_invest['io_ratio'] >7.779))]\n",
    "director_invest_min"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 所以，我们可以从Wes Ball, Paul Feig, Elizabeth Banks这三位导演中选一个。这里我更倾向于选择Wes Ball，不仅仅拥有最高的收益，最高的投入收益比，而且最重要的是popularity也很高，观众比较欢迎，这样更能够进行下一步投资。\n",
    "\n",
    "#### 我们也可以考虑故事类型优先\n",
    "#### 我们也可以对其genres进行提取，得到这一预算内收益比较高的电影类型：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Comedy'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genres_dict = {}\n",
    "for name in director_invest_min.genres:\n",
    "    for single_name in name.split('|'):\n",
    "        genres_dict[single_name] = genres_dict.get(single_name, 0) + 1\n",
    "        \n",
    "max(genres_dict, key=genres_dict.get)\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 我们在得知，这类预算下收益比较高的电影类型是Comedy，所以我们可以再根据director_invest_min表格和Comedy电影类型，得出可以选择的导演是Paul Feig 和Elizabeth Banks。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='conclusions'></a>\n",
    "## 结论\n",
    "\n",
    "- 我们可以看出，在上世界七八十年代，是电影收益最好，且平均预算最低的年代，电影收益率平均能达到10以上，而平均预算则在2000万美元左右；但是在九十年代以后，电影平均预算开始飞速攀升。在2000年电影平均预算达到顶峰约为5000万美元，而收益率则低于2.5；而在这之后的十几年，电影单片平均预算越来月底，而收益率则稳步提升，但并没有超过5。另外，我们可以发现：最近五年电影市场中收益最高的电影类型是Adventure/Action类；而Angel Gracia则是收益比最高的电影导演，另外，如果在这个时期你拥有3000万预算来拍摄一部电影，那么就去拍摄喜剧片或者找Wes Ball来拍，更容易获得更高的收益。\n",
    "- 同时，在探索电影数据项目整个过程中，由于数据中没有关于前作或者后作的介绍，所以无法排除电影收益是否受电影系列的影响；此外，尽管我认为类型片和导演将会是决定电影收益的主要因素，但是无法排除演员是否是电影收益的因素；而在现有数据中存在有大量预算为0或者收益为0、没有导演或者演员的数据，在这里全部都将其作为异常值去掉了，猜测可能是数据收集的过程中由于片方为了保护制作人或者为了做公益等其他原因故意隐瞒掉这些数据，而这类型电影又跟商业电影是不同的性质。所以，本文的结论仅仅针对更为常见的商业电影，对公益类或者纪录片类电影分析结果可能会有偏差。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4294967295"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from subprocess import call\n",
    "call(['python', '-m', 'nbconvert', 'Investigate_a_Dataset.ipynb'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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